THE EFFECT OF GLOBAL MANUFACTURING COMPETITIVE FACTORS ON GLOBAL MANUFACTURING EFFICIENCIES
|
|
- Jennifer Jackson
- 6 years ago
- Views:
Transcription
1 THE EFFECT OF GLOBAL MANUFACTURING COMPETITIVE FACTORS ON GLOBAL MANUFACTURING EFFICIENCIES Dennis Krumwiede College of Business. Idaho State University, Pocatello, Idaho. 921 S. 8 th Ave. Stop 8020, Pocatello, Idaho, USA, krumdenn@isu.edu, Tel Teri Peterson College of Business. Idaho State University, Pocatello, Idaho. 921 S. 8 th Ave. Stop 8020, Pocatello, Idaho, USA, peteteri@isu.edu, Tel Artur Swierczek Department of Business Logistics. University of Economics, ul. Bogucicka 14, , Katowice, Poland. artuross@ae.katowice.pl, Tel ABSTRACT Competitive advantage is important to every company that faces competition. The purpose of this paper is to analyze the relationships among identified competitive goals, potential core competencies embracing resources, capabilities, competencies and the obtained level of performance efficiency. Core competencies are characterized and studied as competitive factors, namely input investments, manufacturing typology, manufacturing planning, accuracy of plant records and product complexity. Keywords: competition, manufacturing companies, efficiency INTRODUCTION This paper analyzes the relationships among identified competitive goals, potential core competences, embracing resources, capabilities, competencies and the obtained level of performance efficiency. Five performance measures were used for this research. The core competencies used are characterized as input investments, manufacturing typology, manufacturing planning, accuracy of plant records and product complexity. These competencies are discussed below. Competitive goals There is general consensus regarding the composition of key elements determining the nature of competition. Several authors enumerated the following factors: cost (price), product differentiation, amount produced, distribution, flexibility, delivery, innovation, quality, environmental and social responsibility [2]. Input investments Input investments significantly support the ability of a company to accomplish competitive goals. Direct resources enable the achievement of synergy, providing realistic frameworks for forecasting strategic planning and goal setting [1]. In order to gain and sustain a competitive
2 advantage, companies have to acquire such resources. These specialized capabilities are exemplified by investments in a number of key areas which in turn increase the companies efficiency. Manufacturing typology Manufacturing companies differ in the way they meet their demand. Some deliver products to their clients from finished goods inventories as their production anticipates customers' orders, others, however manufacture only in response to customers' orders. Time competition being a driving issue requires an emphasis on time that should not be wasted and is supported by fewer and faster activities being performed. On the other hand, customization means performing some activities according to the unique requirements of an individual customer. Competition in terms of time and customization is reflected in the most popular classification of manufacturing types, namely: make-to-stock (MTS), assembly-to-order (ATO), make-toorder (MTO) and engineer-to-order (ETO). Manufacturing planning Manufacturing strategy requires that clear goals are formed and understood by all members of the organization. Some plans must be determined in order to reach the projected goals. Strategic goals enable the formulation of strategic, tactical and operational plans. Tactical and operational plans are closely tied to the management of the production processes while strategic plans have a considerable impact on the companies future. In the opinion of Hodgetts and Kuratko strategic planning can contribute to performance by generating relevant information, by creating a better understanding of the important environment, and by reducing uncertainty [6]. There is empirical evidence indicating a positive relationship between long-term formal planning, frequency of plan s modifications and the obtained performance level [7]. Research indicates that the time horizon of plans for high performers is longer than of plans for low performers whilst frequent plan revisions allow for a timely and thus cost-efficient adaptation of plans and strategies in case of a deviation between current and anticipated data [10]. Accuracy of plant records The accuracy of manufacturing records is the basis for maintaining an effective performance level. Lack of inventory accuracy often results in discrepancies which may ultimately lead to higher than preferred inventory levels and the costs associated with the quantity and value of inventory stored. Conversely, accurate inventory records results in lower inventory investment and are the foundation for forecasting, ordering, tracking, vendor evaluation, and dead stock administration programs [5]. Therefore, accurate inventory records are essential to not only controlling the inventory costs, but also for the analysis of the cost effectiveness. Product data accuracy entails data accuracy of the bill of material (BOM) and accuracy of routing file [13]. According to Chen and Wang the generic BOM provides an efficient way to describe a large number of variants with limited amount of data [4]. Performance efficiency of manufacturing practices Efficient production is a primary concern for manufacturing companies. This performance can be affected by manufacturing technology, labor, capital investment, etc. [3]. Traditionally business performance is considered to be the result of efficiency which means doing all the
3 activities in the process using the least possible resources, whether these are people, equipment or the inventory. Many researchers have studied and identified variation in manufacturing processes that reduce product quality and increase the overall costs of operation. Subsequently, several indices were presented to assess the efficiency of the manufacturing process. Maull et al. argue that the value of the products/items affects the volume by value of the items being phased-out, and, thus, the potential scrap costs [9]. General manufacturing scrap embraces the following manufacturing process characteristics: materials supply scrap level, manufacturing scrap level and final product scrap level. They are used to assess the performance manufacturing efficiency. The other performance dimension often linked to the manufacturing efficiency is productivity. It is the ratio of actual output to input over a period of time. Inputs might include transforming and transformed resources, such as staff and equipment. Outputs are goods and services [11]. In its simplest form, labor productivity could be defined as the hours of work divided by the units of work accomplished [12]. Another productivity dimension or metric is the productivity of manufacturing facilities. The equipment productivity metric assesses internal efficiencies and is a measure of the value that is by equipment in a manufacturing process [8]. In this paper labor and equipment productivity are measured as an index comparing the current productivity to that of two years prior to the survey response. RESEARCH METHOD Data from the Global Manufacturing Research Group round 4 survey was used for this research. The Global Manufacturing Research group consists of academic colleagues from around the world. The group has currently administered four rounds of surveys. This latest survey was used for analysis in this research effort. Initial data collection involved over 800 companies from 8 countries. Variables The independent or explanatory variables are input investments, competitive goals, manufacturing typology, inventory accuracy, forecast duration, and bill of material (BOM) effects. Three factors for investment inputs were defined as the scale variables of shop floor control investment, process control investment, and environmental investment. All had Cronbach alphas of.75 or greater. The competitive goals variables consist of the relative weight given by top management to the six variables cost, quality, delivery timeliness, product variety/volume, new product design/innovation, and environment/safety. Manufacturing typology is measured by the percentage of orders that are engineered to order, made to stock, and assembled to order. Inventory accuracy is measured by the percent accuracy of the plant s inventory records, bills of material and routings. Forecast duration is measured by the number of weeks ahead the plant s production plan extends, how many times per year the plant s production plan is revised and how many weeks ahead the plan freezes the production schedule. Bill of materials effects are measured by how many items are on a typical bill of material and how many annual permanent changes are made to this plant s bills of materials
4 Five response variables were considered: manufacturing cost index (an approximate index comparing current costs to costs two years ago), labor productivity index, equipment productivity (comparing productivity now to two years ago), % of rejects during processing, and % of rejects during final inspection. The impacts of the explanatory variables on the manufacturing efficiency variables were expected to be differentially important based on the manufacturing sector. Therefore, manufacturing sectors were created from the GMRG codes established as part of the GMRG data collection process. These sectors are clothing, petrochemical, fabrication metal, big equipment, natural products, human consumption, and electronic and measuring. PRELIMINARY DATA ANALYSIS AND RESULTS Data were analyzed separately for each of the sectors using SPSS release 15.0, (2007). Multiple regression using backwards selection was performed separately for each of the five response variables. Only variables with an observed significance level (p-value) of less than 0.10 were kept in the model. Multicollinearity was assessed for each model using variance inflation factors (VIFs). All equations had VIFs less than 5, a commonly accepted level for detecting multicollinearity. As this was an exploratory approach too many models were produced to discuss in a paper of this size. The models were reviewed for strong overarching patterns. No such patterns were detected; therefore this paper will discuss the specific results from a subset of the models built. Each sector had at least one model with significant explanatory variables and adjusted coefficients of determination (R 2 adjusted) ranging from.038 to.850. However, the fabrication metal sector had coefficients of determination ranging only from.038 to.127 with few significant explanatory variables. Clothing and leather (n=35), fabrication metal (n=72), big equipment manufacture (n=81), and the electronics (n=123) sectors had weak models, therefore we will not discuss those sectors further in this paper. The strongest models, as measured by R 2 adjusted, were in the petrochemical, natural products, and human consumption sectors. Details for one model from each of these sectors is presented next. Natural products sector The best model in the natural products sector was the one predicting the labor productivity index with an adjusted R 2 of The standardized regression coefficients, or betas, indicate the relative strength of each of the significant variables and demonstrated by (beta, p) at the end of each statement. As The investment into environmental and safety processes (0.22, 0.08) increased the labor productivity also increased. As the importance of the goal of cost to the CEO increased the labor productivity index decreased (-0.58, 0.00). As the number of weeks ahead the production plan extends increased the labor productivity index decreased (-0.25, 0.06). As the accuracy of the BOM increased the labor productivity decreased (-0.35, 0.01). As the number of items on the BOM increased the labor productivity decreased (-0.23, 0.09). The strongest positive effect on natural products is environmental and safety investments. The strongest negative effect on labor productivity is the CEO s desire for competitive cost
5 Human consumption sector The best model in the human consumption sector was the one predicting the equipment productivity index with an adjusted R 2 of The standardized regression coefficients, or betas, indicate the relative strength of each of the significant variables and demonstrated by (beta, p) at the end of each variable. As the investment into shop floor control increased (0.28, 0.02) the equipment productivity also increased. As the % made-to-stock (0.20, 0.05) and % engineered-to-order (0.21, 0.03) increased the equipment productivity index increased, but as the percent assembled-to-order (-.38, 0.00) increased the equipment productivity index decreased. As the importance of the goals of cost (-0.31, 0.01) and delivery timelines to the CEO (-0.18, 0.09) increased the equipment productivity index decreased. As the number of weeks ahead the production plan extends (-0.59, 0.00)increased the equipment productivity index decreased. As the number of times per year the plan was revised (0.71, 0.00) increased so did the equipment productivity index. As the accuracy of the BOM (-0.33, 0.01) increased the equipment productivity decreased, but as the accuracy of the route information (-0.2, 0.06) increased the equipment productivity index also increased. Finally, as the number of changes to the BOM per year (-0.6, 0.00) increased the equipment productivity decreased. The most positive effect on equipment productivity is # of times per year the plan is revised. That is, as the plan is revised more frequently, it will negatively affect productivity. The most negative affect was planning further into the future with the production plan. Petrochemical sector The best model in the petrochemical sector was the one predicting percent rejects during production with an adjusted R 2 of The standardized regression coefficients, or betas, indicate the relative strength of each of the significant variables and demonstrated by (beta, p) at the end of each variable. As the investment into process control (0.31, 0.00) and environment and safety (-0.28, 0.00) increased the percent rejects during production decreased. As the percent assembled-to-order (0.61, 0.00) increased the percent rejects during production index increased. As the importance of the goal of quality to the CEO (0.20, 0.01) increased the percent rejects during production increased. Finally, as the number of changes to the BOM per year increased (0.46, 0.00) the percent rejects during production increased. The most positive affect in this sector on percent rejects during production is percent assembled to order and the most negative affect is process control investment. CONCLUDING REMARKS, FURTHER RESEARCH AND LIMITATIONS Analysis of all sectors combined led to no significant predictive models. Therefore, it is the authors belief that each sector is subject to different relationships and pressures and should be analyzed individually. This greatly reduces the n, yet leads to more significant models. All six classes of variables were significant predictors of the manufacturing efficiency variables in at least one sector with at least one response variable. However, the relationship did not always go in the expected direction. Some sectors such as the human consumption and petrochemical sectors demonstrated the strongest relationships between the efficiency response variables and the suggested explanatory variables, while some sectors such as fabrication metal, despite a larger sample size, consistently showed little or no relationships with the explanatory variables. This demonstrates the need to develop models within each
6 sector incorporating manufacturing challenges inherent to the individual sectors. This research is still in the exploratory stage and further consideration of country, and therefore culturally specific influences needs to be incorporated as well. This study s potential use to practitioners could rest in the development of a model in their sectors to determine the way their particular sector behaves in terms of core competencies and organization outcomes as measured by their desired response variables. As the presented study is in the initial stages, the obtained results of the analysis suggest further directions of research. It would be important to conduct an in-depth analysis of circumstances determining the strength and direction of dependency among performance measures and the explanatory variables as well as to demonstrate the results of regression modeling for other sectors and to compare them with presented industries. Limitation to this research exists as dividing the data into sectors caused the sample sizes to decrease by a large amount. Thus, these models should be viewed as exploratory models to assist in further theory development. REFERENCES [1] Abell, D.F., Hammond, D., John, S. Strategic Marketing Planning, Prentice Hall, Hamel Hampstead, UK [2] Adam, E.E., Swamidass, P.M. Assessing operations management from a strategic perspective. Journal of Management, 1989, 15 (2), [3] Chen, L.-H., Liaw, S.-Y. Measuring performance via production management: a pattern analysis. International Journal of Productivity and Performance Management, 2006, 55 (1), [4] Chen, Z., Wang, L. A generic activity-dictionary based method for product costing in mass customization. Journal of Manufacturing Technology Management. 2007, 18 (6), [5] Harrington, T. C., Lambert, D. M., Vance, M. P. Implementing an Effective Inventory Management System. International Journal of Physical Distribution & Logistics, 1990, 20 (9), [6] Hodgetts, R.M., Kuratko, D.F. Effective Small Business Management, Dryden, Fort Worth, TX [7] Jennings, D., Disney, J. J. Designing the strategic planning process: does psychological type matter? Management Decision, 2006, 44 (5), [8] Johnson, P., Lesshammer, M. Evaluation and improvement of manufacturing performance measurement systems the role of OEE. International Journal of Operations & Production Management, 1999, 19 (1), [9] Kraus, S., Harms, R., Schwarz, E. J. Strategic planning in smaller enterprises new empirical findings. Management Research News, 2006, 29 (6), [10] Maull, R., Hughes, D., Bennett, J. Role of the BOMs as a CAD/CAPM interface and the key importance of engineering change control. Computing & Control Engineering Journal, 1992, 3 (2), [11] Slack, N., Chambers, S., Johnston, R. Operations Management, 3rd ed., Prentice-Hall, Harlow [12] Thomas, R.H. Effects of scheduled overtime on labor productivity. Journal of Construction Engineering and Management, 1994, 118 (1), [13] Wanstrom, C., Jonsson, P. The impact of engineering changes on materials planning. Journal of Manufacturing Technology Management, 2006, 17 (5),
THE COMPARISON BETWEEN ETO AND NON-ETO CAPABILITIES OF SUPPLY CHAINS IN TERMS OF THE CHARACTERISTICS OF MANUFACTURING ACTIVITIES
TOTAL LOGISTIC MANAGEMENT No. 2 2009 PP. 89 100 Artur ŚWIERCZEK THE COMPARISON BETWEEN ETO AND NON-ETO CAPABILITIES OF SUPPLY CHAINS IN TERMS OF THE CHARACTERISTICS OF MANUFACTURING ACTIVITIES Abstract:
More informationThe Contribution of Selected Manufacturing Practices to Achieve Product Customization in Supply Chains. A Cross-industrial Comparison
- 020-0475 - The Contribution of Selected Manufacturing Practices to Achieve Product Customization in Supply Chains. A Cross-industrial Comparison Artur Swierczek Department of Business Logistics. University
More informationWhat is ERP? Source: Wikipedia
Brad Staats What is ERP? Enterprise resource planning (ERP) systems integrate internal and external management information across an entire organization. The purpose of ERP is to facilitate the flow of
More informationSubbu Ramakrishnan. Manufacturing Finance with SAP. ERP Financials. Bonn Boston
Subbu Ramakrishnan Manufacturing Finance with SAP ERP Financials Bonn Boston Contents at a Glance 1 Overview of Manufacturing Scenarios Supported by SAP... 25 2 Overview of Finance Activities in a Make-to-Stock
More informationTU-C2020 Operations Management. Timo Seppälä
TU-C2020 Operations Management Timo Seppälä Operations management Operations management is an activity of managing the resources which create and deliver services and products Slack et al., 2012 Inputs
More informationMANUFACTURING RESOURCE PLANNING AND ENTERPRISE RESOURCE PLANNING SYSTEMS: AN OVERVIEW
MANUFACTURING RESOURCE PLANNING AND ENTERPRISE RESOURCE PLANNING SYSTEMS: AN OVERVIEW Al-Naimi Assistant Professor Industrial Engineering Branch Department of Production Engineering and Metallurgy University
More informationBill of material. A bill of material (BOM) represents the structural links between finished products, intermediate items, components and raw materials
Bill of material A bill of material (BOM) represents the structural links between finished products, intermediate items, components and raw materials FP A B C x y z 1 Manufacturing cycle Manufacturing
More informationScholars Journal of Economics, Business and Management e-issn
DOI: 10.21276/sjebm Scholars Journal of Economics, Business and Management e-issn 2348-5302 Sch J Econ Bus Manag, 2017; 4(6):363-367 p-issn 2348-8875 SAS Publishers (Scholars Academic and Scientific Publishers)
More informationAIS Contribution in Navigation Operation- Using AIS User Satisfaction Model
International Journal on Marine Navigation and Safety of Sea Transportation Volume 1 Number 3 September 2007 AIS Contribution in Navigation Operation- Using AIS User Satisfaction Model A. Harati-Mokhtari
More information9. What are the activities within the scope of production planning? 1. Aggregate production planning
UNIT-II PRODUCTION PLANNING AND CONTROL AND COMPUTERISED PROCESS PLANNING 1. Define Process Planning Process planning involves determining the sequence of processing and assembly steps that must be accomplished
More informationProduction Management and Scheduling
Production Management and Scheduling Meet Your Due Dates Your production process can be simple or complex, time consuming or quick, but one thing remains constant the drive to meet your customer s delivery
More informationIV/IV B.Tech (Mech. Engg.) 7th sem, Regular Exam, Nov Sub: OPERATIONS MANAGEMENT [14ME705/A] Scheme of valuation cum Solution set
IV/IV B.Tech (Mech. Engg.) 7th sem, Regular Exam, Nov 2017 Sub: OPERATIONS MANAGEMENT [14ME705/A] Scheme of valuation cum Solution set 1 1 x 12 = 12 M a) Forecasts are estimates of occurrence, timing or
More informationContents Introduction to Logistics... 6
CONTENTS Contents... 3 1. Introduction to Logistics... 6 1.1 Interfaces between Logistics Manufacturing....7 1.2 Logistics: Manufacturing issues in Customer Service...9 I.3 Production scheduling...10 1.4
More informationInternational Journal of Engineering Research & Management Technology
International Journal of Engineering Research & Management Technology ISSN: 2348-4039 January- 2014 A Study of Goal Programming Model for Sales Planning of Multi-Product Garment Production Corporate Unit
More informationTitle: Implementing Oracle Discrete manufacturing in an Engineer to Order environment. Characteristics of typical Engineer to Order Environment
Title: Implementing Oracle Discrete manufacturing in an Engineer to Order environment Name : Somnath Majumdar Company : Infosys Technologies Executive Summary Companies today are moving towards customized
More informationWHITE PAPER. Control Manufacturing Costs with Odoo Open ERP
WHITE PAPER Control Manufacturing Costs with Odoo Open ERP USA ODOO WHITE PAPER 1 The challenge of controlling costs looms large in many manufacturing sectors but clearing this hurdle is not insurmountable.
More informationKing Saud University College Of Business Administration Management Department Course: Operations Management
King Saud University College Of Business Administration Management Department Course: Section: 35003 ادا 371 Second Semester - 1432/1433 Instructor: Dr. Abdullah M. Aldakhil Office Hours: Saturday & Sunday
More informationUNIT II PRODUCTION PLANNING AND CONTROL AND COMPUTERISED PROCESS PLANNING
UNIT II PRODUCTION PLANNING AND CONTROL AND COMPUTERISED PROCESS PLANNING 2 Process Planning Product design for each product has been developed in the design department. To convert the product design into
More informationDIGITAL BUSINESS STRATEGY: A VALUE CREATION TOOL
DIGITAL BUSINESS STRATEGY: A VALUE CREATION TOOL *HEMAVATHY RAMASUBBIAN, Assistant Professor, Department of Commerce, Hindusthan College of Arts & Science, Coimbatore, INDIA **P. NITHYA DEVI, Assistant
More informationbusinesses may be in the close personal contact with their employees, and therefore, more effective communication and teamwork between the owner-manag
HUMAN RESOURCE MANAGEMENT INFORMATION NEEDS OF OWNERS OF SMALL BUSINESSES IN LOUISIANA Larry E. Short, Northwestern State University John Paul Dunn, University of Louisiana at Monroe Abstract The purpose
More informationHybrid Manufacturing Methods
Hybrid Manufacturing Methods The following manufacturing execution and costing methods are supported in SyteLine. These methods can be combined in a single environment so that the optimal method is used
More informationFORECASTING AND DEMAND MANAGEMENT
FORBUS JUNE 2013 EXAMINATION DATE: 7 JUNE 2013 TIME: 09H00 11H00 TOTAL: 100 MARKS DURATION: 2 HOURS PASS MARK: 40% (XN-88) FORECASTING AND DEMAND MANAGEMENT THIS EXAMINATION PAPER CONSISTS OF 3 SECTIONS:
More informationANALYSIS OF FACTORS CONTRIBUTING TO EFFICIENCY OF SOFTWARE DEVELOPMENT
ANALYSIS OF FACTORS CONTRIBUTING TO EFFICIENCY OF SOFTWARE DEVELOPMENT Nafisseh Heiat, College of Business, Montana State University-Billings, 1500 University Drive, Billings, MT 59101, 406-657-2224, nheiat@msubillings.edu
More informationUSING EXPLORATORY FACTOR ANALYSIS IN INFORMATION SYSTEM (IS) RESEARCH
USING EXPLORATORY FACTOR ANALYSIS IN INFORMATION SYSTEM (IS) RESEARCH Maria Argyropoulou, Brunel Business School Brunel University UK Maria.Argyropoulou@brunel.ac.uk Dimitrios N.Koufopoulos Brunel Business
More informationKEY ISSUES in Advanced Operations Management. Timo Seppälä
KEY ISSUES in Advanced Operations Management Timo Seppälä Production as a value creation process Operations system forms the transformation process between the inputs and the outputs of a manufacturing
More informationBrand Equity and Factors Affecting Consumer s Purchase Intention towards Luxury Brands in Bangkok Metropolitan Area
Brand Equity and Factors Affecting Consumer s Purchase Intention towards Luxury Brands in Bangkok Metropolitan Area Sumalee Lekprayura Abstract The purposes of this research were 1) to study consumer-based
More informationSAP Automotive for Suppliers
SAP Automotive for Chapter Suppliers 2 SAP Automotive for Suppliers As competition intensifies, business processes are no longer confined to individual companies. Manufacturers and suppliers are focusing
More informationPLANNING FOR PRODUCTION
PLANNING FOR PRODUCTION Forecasting Forecasting is the first major activity in the planning, involving careful study of past data and present scenario to estimate the occurence, timing or magnitude of
More informationSeradex White Paper. ERP for Engineer to Order. A Discussion of High Performance Manufacturing Issues
Seradex White Paper A Discussion of High Performance Manufacturing Issues ERP for Engineer to Order Congratulations - you finally landed the big contract. But there's no time for a long celebration. You've
More informationForecasting revisited: difference in forecasting between MTS and ETO manufacturing
Forecasting revisited: difference in forecasting between MTS and ETO manufacturing Jasna Prester, PhD Associate professor University of Zagreb, Faculty of Business and Economics Croatia Abstract Forecasting
More informationTHE IMPACT OF THE HRM PRACTICES ON THE EMPLOYEE TURNOVER AMONG IT/ITES ORGANIZATIONS
International Journal of Management (IJM) Volume 7, Issue 6, September October 2016, pp.203 210, Article ID: IJM_07_06_023 Available online at http://www.iaeme.com/ijm/issues.asp?jtype=ijm&vtype=7&itype=5
More informationKNOWLEDGE MANAGEMENT INITIATIVES IN EDUCATION
KNOWLEDGE MANAGEMENT INITIATIVES IN EDUCATION Principal, College of Computer Sciences, Wakad Pune 57 (MS) INDIA Information practices and learning strategies known as Knowledge management are gaining importance
More informationSTUDY REGARDING THE IMPACT OF THE AUDIT COMMITTEE CHARACTERISTICS ON COMPANY PERFORMANCE
STUDY REGARDING THE IMPACT OF THE AUDIT COMMITTEE CHARACTERISTICS ON COMPANY PERFORMANCE ANGHEL Ioana Valahia University of Târgoviște, Romania MAN Mariana University of Petroșani, Romania Abstract: Regardless
More informationBest practices in demand and inventory planning
whitepaper Best practices in demand and inventory planning WHITEPAPER Best Practices in Demand and Inventory Planning 2 about In support of its present and future customers, Aptean sponsored this white
More informationAn Empirical Analysis of Requirements Uncertainty, Task Uncertainty and Software Project Performance
Journal of Emerging Trends in Economics and Management Sciences (JETEMS) 3(5): 559-564 Scholarlink Research Institute Journals, 2012 (ISSN: 2141-7024 jetems.scholarlinkresearch.org Journal of Emerging
More informationEnd-User Computing Satisfaction (EUCS) in Computerised Accounting System (CAS): Which the Critical Factors? A Case in Malaysia
Vol. 2, No. 1 End-User Computing Satisfaction (EUCS) in Computerised Accounting System (CAS): Which the Critical Factors? A Case in Malaysia Azleen Ilias Mohd Zulkeflee Abd Razak Rahida Abdul Rahman Mohd
More informationAUTOSIMPLY. Manufacturing Order. Features. About AutoSimply
AUTOSIMPLY Manufacturing Order About AutoSimply Autosimply is a Sage Developer Partner since 2004. Founded by a group of ACCPAC consultants with over 10 years project experience, we know and understand
More informationThe Role of Intellectual Capital in Knowledge Transfer I. INTRODUCTION (Insufficient Researched Areas) Intellectual Capital Issues in interfirm collab
TECH 646 Analysis of Research in Industry and Technology Discussion Note The Role of Intellectual Capital in Knowledge Transfer, Chung-Jen Chen, His-An Shih, and Su-Yueh Yang, IEEE Transactions on Engineering
More informationGBI - Introductory Course 6/11/2015
SAP University Alliances Version 2.11 Authors Bret Wagner Stefan Weidner Production Planning and Execution (PP) Product 6.0 EhP4 Global Bike Inc. Level Beginner Focus Cross-functional integration Production
More informationPriscilla Jennifer Rumbay. The Impact of THE IMPACT OF CUSTOMER LOYALTY PROGRAM TO CUSTOMER LOYALTY (STUDY OF GAUDI CLOTHING STORE MANADO)
THE IMPACT OF CUSTOMER LOYALTY PROGRAM TO CUSTOMER LOYALTY (STUDY OF GAUDI CLOTHING STORE MANADO) by: Priscilla Jennifer Rumbay 1 Faculty of Economics and Business International Business Administration
More informationARC VIEW. TCS Seeks to Enable a Digital Integrated Business Planning Process. Keywords. Summary. From IBP to Digital IBP.
ARC VIEW DECEMBER 21, 2017 TCS Seeks to Enable a Digital Integrated Business Planning Process By Steve Banker Keywords Integrated Business Planning, Digital, Cognitive Summary On October 25 th, 2017 Tata
More informationThe Impact of Human Resource Management Functions in Achieving Competitive Advantage Applied Study in Jordan Islamic Bank
The Impact of Human Resource Management Functions in Achieving Competitive Advantage Applied Study in Jordan Islamic Bank Kafa Hmoud Al-Nawaiseh Department of Financial and Administrative Sciences, Al-Balqa
More informationManagement Science Letters
Management Science Letters 3 (013) 81 90 Contents lists available at GrowingScience Management Science Letters homepage: www.growingscience.com/msl Investigating the relationship between auditor s opinion
More informationSalary Determinants for Higher Institutions of Learning in Kenya
Salary Determinants for Higher Institutions of Learning in Kenya Bernard Muturi The Catholic University of Eastern Africa, Kenya Email: bmuturi@cuea.edu Philip Ngare University of Nairobi, Kenya Email:
More informationHS-OWL UniTS Operations management Process design
Process design Introduction Products, services and the processes which produce them all have to be designed. Design is an activity (mainly conceptual) which must produce a solution that will achieve a
More informationThe Influence of Online Reviews on Consumers Purchase Decision An Empirical Study
The Influence of Online Reviews on Consumers Purchase Decision An Empirical Study Hualin Wang Scientific Journal of E-Business October 2014, Volume 3, Issue 3, PP.12-18 Jiangxi University of Finance &
More informationEMBA COURSES Student Learning Outcomes 1
EMBA COURSES Student Learning Outcomes 1 BA 601: Organizational Behavior for Executives At the end of this course, students should be able to: Apply knowledge of how to effectively analyze, manage and
More informationBusiness Process Optimization Overview
Overview Business Process Optimization Overview The role of a Point North Consulting Business Analyst is to establish effective communications with the client to understand their business needs and facilitate
More informationEngineering The Extended Enterprise
Proceedings of The 4 th Annual International Conference on Industrial Engineering Theory, Applications and Practice November 17-20, 1999, San Antonio, Texas, USA Engineering The Extended Enterprise Larry
More informationEPM. in Manufacturing: Finally Coming of Age. By Dean Sorensen. What s the value of enterprise performance management (EPM) applications in
EPM in Manufacturing: Finally Coming of Age By Dean Sorensen What s the value of enterprise performance management (EPM) applications in manufacturing and supply chain organizations (MSCOs)? It s a question
More informationLean Production and Market Orientation: Evidence from Ardabil Province Industrial Companies
Lean Production and Market Orientation: Evidence from Ardabil Province Industrial Companies Mehdi Fathollahzadeh 1, Mohammad Feizi Department of Management, Meshkin Branch, Islamic Azad University, Meshkin,
More informationLogistic and production Models
i) Supply chain optimization Logistic and production Models In a broad sense, a supply chain may be defined as a network of connected and interdependent organizational units that operate in a coordinated
More informationEND USER ADOPTION OF ERP SYSTEMS: INVESTIGATION OF FOUR BELIEFS
END USER ADOPTION OF ERP SYSTEMS: INVESTIGATION OF FOUR BELIEFS Ibrahim M. Al-Jabri and Ahmad Al-Hadab King Fahd University of Petroleum & Minerals, College of Industrial Management Department of Accounting
More informationAn Examination of the Factors Influencing the Level of Consideration for Activity-based Costing
Vol. 3, No. 8 International Journal of Business and Management 58 An Examination of the Factors Influencing the Level of Consideration for Activity-based Costing John A. Brierley Management School, University
More informationProduction Activity Control
Production Activity Control Here the progress of manufacturing operations in the workshop is recorded. Also the material transactions tied to the Open WO s are entered. Open Work Order Maintenance Window
More informationFAQ: Efficiency in the Supply Chain
Question 1: What is a postponement strategy? Answer 1: A postponement or delayed differentiation strategy involves manipulating the point at which a company differentiates its product or service. These
More informationThe Five Sure-Fire Strategies
Special Report The Five Sure-Fire Strategies for Gaining Management Approval for WMS Projects Introduction An ever-increasing number of companies today manufacturers, distributors, retailers and others
More informationExploratory study of e-tailing service reliability dimensions
Exploratory study of e-tailing service dimensions ZHAO Qianqian and QIN Jin qjin@ustc.edu.cn (School of Management, University of Science and Technology of China, Hefei, 230026, China) Abstract Reliability
More informationQuantifying the Demand Fulfillment Capability of a Manufacturing Organization
22 Quantifying the Demand Fulfillment Capability of a Manufacturing Organization César Martínez-Olvera Industrial Engineering, Tecnológico de Monterrey CQ, Queretaro, México 1. Introduction According to
More informationSupply Chain Process and Systems Optimization for a Leading Global Manufacturer of Elevators, Escalators and Automatic Doors
www.hcltech.com Supply Chain Process and Systems Optimization for a Leading Global Manufacturer of Elevators, Escalators and Automatic Doors Executive Summary The client is a leading global manufacturer
More information5 SURE-FIRE STRATEGIES. for Gaining Management Approval for WMS Projects
5 SURE-FIRE STRATEGIES for Gaining Management Approval for WMS Projects An ever-increasing number of companies today have implemented warehouse management systems (WMS) to drive immediate, measurable cost
More informationRegression analysis of profit per 1 kg milk produced in selected dairy cattle farms
ISSN: 2319-7706 Volume 4 Number 2 (2015) pp. 713-719 http://www.ijcmas.com Original Research Article Regression analysis of profit per 1 kg milk produced in selected dairy cattle farms K. Stankov¹*, St.
More informationA Five-Step Approach to Develop and Maintain an Operational Planning Model to Enhance Supply Chain Agility and Stability
A Five-Step Approach to Develop and Maintain an Operational Planning Model to Enhance Supply Chain Agility and Stability Thomas Brassøe Stavanger October 22 nd 2015 First, a question: What makes planning
More informationEvaluating the factors affecting Quality of Residential projects in Construction Industry
Evaluating the factors affecting Quality of Residential projects in Construction Industry Ashish Mutha Sardar Patel college of Engineering, Mumbai Dr. Anil Ghadge Sardar Patel college of Engineering, Mumbai
More informationChapter 5 RESULTS AND DISCUSSION
Chapter 5 RESULTS AND DISCUSSION 5.0 Introduction This chapter outlines the results of the data analysis and discussion from the questionnaire survey. The detailed results are described in the following
More informationPRODUCTION ACTIVITY CONTROL FOR SMALL AND MEDIUM SIZED ENTERPRISES, SMEs WITH LESS THAN 500 EMPLOYEES
PRODUCTION ACTIVITY CONTROL FOR SMALL AND MEDIUM SIZED ENTERPRISES, SMEs WITH LESS THAN 500 EMPLOYEES Neil Towers, Manchester Metropolitan University INTRODUCTION As part of research, at the Crewe campus
More informationThe Relationship between Perceived Service Quality and Fishermen Satisfaction
The Relationship between Perceived Service Quality and Fishermen Satisfaction Praveena Thevisuthan 1* Kurukulasingam Tharjanan 2 1. Department of Business and Management Studies, Faculty of Communication
More informationQUANTITATIVE TECHNIQUES AS A PREDICTOR OF MANUFACTURING SECTOR PERFORMANCE IN NIGERIA
QUANTITATIVE TECHNIQUES AS A PREDICTOR OF MANUFACTURING SECTOR PERFORMANCE IN NIGERIA HASSAN, TOLANI AGBOOLA Department of Business Management. Tai Solarin University of Education, Ijagun, Ogun State,
More informationAn Examination and Interpretation of Tie Market Data. By Fred Norrell - Economist. Presented at the. RTA convention in Asheville, NC.
An Examination and Interpretation of Tie Market Data By Fred Norrell - Economist Presented at the RTA convention in Asheville, NC November, 2000 I. Production, inventory and estimated purchases II. III.
More information2 Supply Chain Flexibility (SCF)
16 2 Supply Chain Flexibility (SCF) Flexibility is a multi-dimensional concept with various facets (Slack, 1987; De Toni & Tonchia, 1998; Sánchez & Pérez, 2005; Stevenson & Spring, 2007; Gosling et al.,
More informationMARKET ORIENTATION AND BUSINESS PERFORMANCE: EMPIRICAL EVIDENCE FROM SMALL AND MEDIUM ENTERPRISES IN SOMALIA
MARKET ORIENTATION AND BUSINESS PERFORMANCE: EMPIRICAL EVIDENCE FROM SMALL AND MEDIUM ENTERPRISES IN SOMALIA Ali Yassin Sheikh Ali (PhD) Faculty of Economics, SIMAD University, Mogadishu, Somalia (http://www.profali.com,
More informationEvaluation of Supply Chain Function of Operations Management in retail service sector A study in Hyderabad region
Vol. 8 Issue 9, September2018, ISSN: 2249-2496 Impact Factor: 7.081 Journal Homepage: Double- Blind Peer Reviewed Refereed Open Access International Journal - Included in the International Serial Directories
More informationTake Back Manufacturing
Take Back Manufacturing Computer Integrated Manufacturing ( CIM ) ERP the long journey where we have been and where are we going? Genius Solutions: the Company In business for over 20 years Origins - Industrial
More informationMPR Sample Test. CPIM(Certified In Production & Inventory Management) - 1 -
CPIM(Certified In Production & Inventory Management) MPR Sample Test. 1. Which of the following would NOT be a key operating objective? A. Inventory dollars. B. Shipment dollars. C. Factory location selection.
More informationOrganizational structure in the view of single business concentration and diversification strategies empirical study results 1
Organizational in the view of single business and diversification strategies empirical study results IWONA STANIEC, AGNIESZKA ZAKRZEWSKA BIELAWSKA Department of Management Technical University of Lodz
More informationBest Practices in Demand and Inventory Planning
W H I T E P A P E R Best Practices in Demand and Inventory Planning for Chemical Companies Executive Summary In support of its present and future customers, CDC Software sponsored this white paper to help
More informationThe Role of Decoupling Points in Value Chain Management
The Role of Decoupling Points in Value Chain Management Jan Olhager Abstract All supply chains are not the same. A key factor that affects the design and management of a value chain is the position of
More informationEmpirical study of software project risk factors
Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2014, 6(7): 2775-2779 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Empirical study of software project risk Zhao
More informationAn Examination of Assessment Center Quality
An Examination of Assessment Center Quality 1 Assessment Centers Remain a Preferred Method for Leadership Assessment and Development For many years assessment centers have been identified as the preferred
More informationThe Impact of Strategic Planning on Improving Institutional Performance at Limkokwing University of Creative Technology in Malaysia
International Journal of Psychology and Cognitive Science 2018; 4(3): 112-129 http://www.aascit.org/journal/ijpcs ISSN: 2472-9450 (Print); ISSN: 2472-9469 (Online) The Impact of Strategic Planning on Improving
More informationHarvesting Operational Efficiency at AGCO. Michael J. Bradford
Harvesting Operational Efficiency at AGCO Michael J. Bradford Introductions Industry Challenges & Direction Mike Bradford, Sr. Business Experience Consultant, Delmia-Apriso Mike.Bradford@3ds.com Industry
More information10 SECRETS EVERY SOFTWARE BUYER SHOULD KNOW
WHITEPAPER 10 SECRETS EVERY SOFTWARE BUYER SHOULD KNOW A Guide for Engineer-to-Order and Project-Based Manufacturers WHITEPAPER 10 SECRETS EVERY SOFTWARE BUYER SHOULD KNOW 2 INTRODUCTION In today s challenging
More informationPrinciples of Operations Management: Concepts and Applications Topic Outline Principles of Operations Planning (POP)
Principles of Operations Management: Concepts and Applications Topic Outline Principles of Operations Planning (POP) Session 1: Operation Management Foundations Describe how today s business trends are
More information1. are generally independent of the volume of units produced and sold. a. Fixed costs b. Variable costs c. Profits d.
Final Exam 61.252 Introduction to Management Sciences Instructor: G. V. Johnson December 17, 2002 1:30 p.m. to 3:30 p.m. Room 210-224 University Centre Seats 307-328 Paper No. 492 Model Building: Break-Even
More informationPRODUCTION PLANNING ANDCONTROL AND COMPUTER AIDED PRODUCTION PLANNING Production is a process whereby raw material is converted into semi-finished products and thereby adds to the value of utility of products,
More informationGenius Manufacturing. Simple Manufacturing ERP for Complex & Custom Products.
Genius Manufacturing Simple Manufacturing ERP for Complex & Custom Products. «Tighter control of production planning an flexibility and scalability to handle shifts in manufacturing strategy» - Poudrier
More informationIT Influence on Organizational Structure: Empirical Studies Among Polish Organizations
Chinese Business Review, July 2015, Vol. 14, No. 7, 348-353 doi: 10.17265/1537-1506/2015.07.003 D DAVID PUBLISHING IT Influence on Organizational Structure: Empirical Studies Among Polish Organizations
More informationAPPLICATION OF MULTIPLE LINEAR REGRESSION MODEL IN THE MANAGEMENT OF PHARMACEUTICAL SUPPLIES
European International Journal of Science and Technology Vol. 8 No. 1 January 2019 APPLICATION OF MULTIPLE LINEAR REGRESSION MODEL IN THE MANAGEMENT OF PHARMACEUTICAL SUPPLIES Dennis K. Muriithi Faculty
More informationVirtual Pull Systems. Don Guild, Synchronous Management INTRODUCTION
INTRODUCTION Have you implemented kanban yet? Have you been unable to roll it out or just abandoned it? Most companies who begin kanban implementation struggle to finish the job. In too many cases, the
More informationEXPORTING IN CENTRAL AND EASTERN EUROPEAN (CEE) COUNTRIES: A MODEL OF EXPORT INFORMATION COLLECTION, ANALYSIS AND USAGE
EXPORTING IN CENTRAL AND EASTERN EUROPEAN (CEE) COUNTRIES: A MODEL OF EXPORT INFORMATION COLLECTION, ANALYSIS AND USAGE Călin GURĂU Groupe Sup de Co Montpellier Business School Montpellier, France Ashok
More informationAVANTUS TRAINING PTE LTD
Manufacturing II in Microsoft Dynamics NAV 2009 Course 80261A: 3 Days; Instructor-Led About this Course This three-day course explores the advanced manufacturing functionality of Microsoft Dynamics NAV
More informationCHAPTER 4. STATUS OF E-BUSINESS APPLICATION SYSTEM AND ENABLERS IN SCM OF MSMEs
70 CHAPTER 4 STATUS OF E-BUSINESS APPLICATION SYSTEM AND ENABLERS IN SCM OF MSMEs 4.1 PREAMBLE This chapter deals with analysis of data gathered through questionnaire survey to bring out The profile of
More informationINVESTIGATING THE RELATIONSHIP BETWEEN ORGANIZATIONAL LEARNING AND FLEXIBILITY OF EMPLOYEES IN EDUCATION DEPARTMENT OF SARPOOL-E-ZAHAB CITY
INVESTIGATING THE RELATIONSHIP BETWEEN ORGANIZATIONAL LEARNING AND FLEXIBILITY OF EMPLOYEES IN EDUCATION DEPARTMENT OF SARPOOL-E-ZAHAB CITY Iran Ghanbari Department of Management, Sanandaj Branch, Islamic
More informationIntegration of JIT /MRP in inventory systems. Abstract:
Integration of JIT /MRP in inventory systems P.Sivasankaran Assistant Professor, Department of Mechanical Engineering, Manakula Vinayagar Institute of Technology, Pondicherry 605 107 Email: sivasankaran.panneerselvam@yahoo.com
More informationWhy companies need strategic planning?
Why companies need strategic planning? Anna Afonina, Ing. Faculty of Business and Management, Brno University of Technology, Kolejní 2906/4, 61200 Brno, Czech Republic, afonina@fbm.vutbr.cz Abstract At
More informationQuantity Surveyors Entrepreneurial Inclination as Determinant For the Growth of Small and Medium Quantity Surveying Firms in Nigeria
http:www.internationalpolicybrief.org/journals/international-scientific-research-consortium-journals INTERNATIONAL JOURNAL OF ENTREPRENEURIAL DEVELOPMENT, EDUCATION AND SCIENCE RESEARCH Quantity Surveyors
More informationTHE MRP CHALLENGE IN THE 21 ST CENTURY. All material and content copyright 2016 Demand Driven Institute. All rights reserved.
THE MRP CHALLENGE IN THE 21 ST CENTURY The MRP Revolution Joe Orlicky Features: Time Phased Planning Level by level BOM explosion Dependent demand planning Benefits: Component synchronization Reduction
More informationThe Relationship Between Perceived Waiting Time Management And Customer Satisfaction Levels Of Commercial Banks In Kenya
The Relationship Between Perceived Waiting Time Management And Customer Satisfaction Levels Of Commercial Banks In Kenya Chepkoech Rose Jomo Kenyatta University of Agriculture and Technology Dr. Severina
More informationChapter 3. Database and Research Methodology
Chapter 3 Database and Research Methodology In research, the research plan needs to be cautiously designed to yield results that are as objective as realistic. It is the main part of a grant application
More informationMaterial Requirements Planning (MRP) and ERP 14. Outline
Material Requirements Planning (MRP) and ERP 14 1 Outline Global Company Profile: Wheeled Coach Dependent Demand Dependent Inventory Model Requirements MRP Structure MRP Management 2 1 Outline - Continued
More information