DETC A METHOD FOR DESIGNING COLLABORATIVE PRODUCTS WITH APPLICATION TO POVERTY ALLEVIATION

Proceedings of the ASME 2011 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference IDETC/CIE 2011 August 28-31, 2011, Washington, DC, USA DETC2011-47 A METHOD FOR DESIGNING COLLABORATIVE PRODUCTS WITH APPLICATION TO POVERTY ALLEVIATION Jacob S. Morrise Graduate Research Assistant Dept. of Mechanical Engineering Brigham Young University Provo, Utah 84602 Email: jacobmorrise@byu.edu Patrick K. Lewis PhD Student Dept. of Mechanical Engineering Brigham Young University Provo, Utah 84602 Email: patrick.k.lewis@byu.edu Christopher A. Mattson Assistant Professor Dept. of Mechanical Engineering Brigham Young University Provo, Utah 84602 Email: mattson@byu.edu Spencer P. Magleby Professor Dept. of Mechanical Engineering Brigham Young University Provo, Utah 84602 Email: magleby@byu.edu ABSTRACT Collaborative products are created when physical components from two or more products are temporarily recombined to form another product capable of performing additional tasks. In this paper, a method for designing collaborative products is introduced. The method identifies a set of products capable of being recombined into a collaborative product. These products are then designed to allow for this recombination. Collaborative products are particularly useful in reducing the cost, weight, and size of poverty-alleviating products reductions that are valued in the developing world. A simple example of a cabinet maker s tool shows that a collaborative block plane created from a chisel and sanding block can account for reductions in cost, weight, and size of 44%, 38%, and 44% respectively, when compared to a typical wooden block plane, chisel, and sanding block. Additionally, an example of a collaborative apple peeler is provided to demonstrate scalability of the method. The authors conclude that the method introduced herein provides a new and useful tool to Address all correspondence to this author. design collaborative products and to assist in engineering-based poverty alleviation. NOMENCLATURE C The collaboration factor of a product set C The normalized collaboration factor of a product set F A vector containing the number of missing and additional components as required by a target product M A matrix containing the component information of all the products in a recombination table N a The number of components included in a product set not required by a target product N c The number of component columns within a recombination table N l The number of products within a recombination table N m The number of components missing from a product set required by a target product The number of products within a product set N p 1 Copyright c 2011 by ASME

N r N t P S T w a w m w p The number of components required by a target product The theoretical minimum number of products required for the creation of a collaborative product A vector containing the sum of a product set s component information, Size (1, N c ) A vector identifying the products from a recombination table included in a given product set, Size (1, N l ) A vector containing the component information of a target product, Size (1, N c ) The weight of N a in an aggregate objective function The weight of N m in an aggregate objective function The weight of N p in an aggregate objective function 1 INTRODUCTION In 2005, the World Bank reported that approximately 1.4 billion people in the world were living on less than $1.25 a day [1]. In recent years, an engineering focus on developing incomegenerating products has brought new optimism to achieving sustainability in poverty alleviation [2, 3]. These products are purchased and used by those living in poverty to increase their incomes, leading to better health and education [2]. Although such products have helped more than 12 million people escape poverty [2 4], many of the impoverished are unwilling to invest in these products because of the financial risks involved in purchasing them [2, 3]. Therefore, a significant goal of the method introduced herein is to design income-generating products that are extremely affordable. As such, a greater number of individuals will be able to capitalize on the benefits of income-generating products. An interesting condition that exists in the developing world is that individuals generally have a shortage of funds, while having a very low opportunity cost for their time and labor a noticeable reversal of the conditions that exist in the developed world [3]. For those in the developing world, inexpensive products are often more desirable, even though more time may be required to use them. Additionally, reductions in product cost, weight, and size would be particularly beneficial for incomegenerating products, as they would reduce the risks associated with purchasing them. Collaborative products are capable of achieving these reductions and are the focus of this paper. Collaborative products are created when physical components from two or more products are temporarily recombined to form another product capable of performing additional tasks. Thus collaborative products have great potential to increase the task-percost ratio of a set of products. Although this paper is focused on designing products for those living in the developing world, many living in poverty in the developed world have similar needs. In 2009, 14.3% of those living in the United States had incomes below the poverty threshold, as defined by family size, number of children, and age [5]. For example, an impoverished family of four lives on less than FIGURE 1. COLLABORATIVE PRODUCTS CURRENTLY AVAILABLE $22,050 a year, or about $15 a day per person. As a result of limited funds, many of these individuals live in small dwellings with limited storage space. For these individuals, inexpensive products with reduced weight and size and increased functionality would be beneficial. To illustrate this, an example of a collaborative apple peeler designed for those in the developed world is provided in Sec. 4.10. Additional industries that could benefit from collaborative products are payload conscious industries such as aerospace and backpacking. Though few in number, examples of simple collaborative products can be found on the market today in categories such as kitchen tools (e.g., salad tongs created by joining a serving spoon and serving fork (see Fig. 1)) and carpenter s tools (e.g., a combination square that is created by joining a ruler and small level (see Fig. 1)). The potential for collaborative products to positively affect those living in poverty merits the need for methods to design such products. As will be shown in Sec. 2, methods available in the literature serve as a foundation for the design of collaborative products; however, the literature does not provide methods for designing them directly or explore their use in povertyalleviation strategies. The remainder of this paper is presented as follows: A review of the literature is included in Sec. 2. In Sec. 3, the new method for designing collaborative products is presented. In Sec. 4, the design of a simple collaborative block plane for use as an income-generating product demonstrates implementation of the method. The design of a collaborative apple peeler is also briefly presented in this section. Concluding remarks are provided in Sec. 5. 2 LITERATURE SURVEY This section establishes a foundation for the method presented in this paper by reviewing pertinent published literature. 2 Copyright c 2011 by ASME

The technologies needed to form this enabling foundation are: (i) product modularity, (ii) product decomposition, (iii) reconfigurable systems, and (iv) engineering-based poverty alleviation. 2.1 Product Modularity The separable nature of collaborative products often benefits from a type of modularity identified in the literature as Type II modularity [6]. To better understand why Type II modularity facilitates collaborative products, a general discussion of modular architectures is first provided. Modular architectures have two properties: (i) they embody one or more functional elements in distinct modules, and (ii) they clearly define interactions between modules that are generally fundamental to the primary function of the product [7]. Additionally, four pertinent types of modular architecture are defined in the literature. They are: (i) Slot-modular: where each component is designed to have a unique interface with a base module, (ii) Bus-modular: where each component is designed to have the same interface with a base module, (iii) Sectional-modular: where each interface is identical and there is no base module [7], and (iv) Type II modular: where each interface is unique and there is no base module [6]. Type II modularity is incorporated into the method presented in this paper because of the distinct nature of collaborative products. That is, because they are formed by recombining various components from independently-functioning products to create a new product with new functionality. As this new functionality is not generally based upon or predominantly connected to a single component, no one component becomes a base module. Additionally, because collaborative products are designed to be recombined into a specific product (and are therefore not generally designed to be infinitely reconfigurable), there is no need to design common interfaces. Therefore collaborative products often have unique interfaces, as this is sufficient. The specific implementation of Type II modularity in the development of collaborative product interfaces is discussed more fully in Sec. 3.7. 2.2 Product Decomposition The presented method for designing collaborative products requires a set of products to be decomposed into components. These components are then recombined to form another product capable of performing additional tasks. Product decomposition is the breakdown of products into components that completely describe a product [8]. The literature presents various methods for decomposing products into either functional or physical components. A broad discussion of the literature s key points is now provided. Functional decomposition is the representation of a product by its functions. In this case, a function transforms an input into an output. Various functional decomposition methods are identified in the literature [7 9]. Although the presented method involves recombining products to achieve new functionality, functional decomposition is not used herein. It is not used because components of a collaborative product are not required to perform the same functions that they did before being combined into that collaborative product. Physical decomposition, on the other hand, is the process of breaking down a product into subsystems and then breaking down those subsystems and their subsystems into basic physical components [8]. Since collaborative products are formed by combining physical components from other products, physical decomposition is a fundamental part of the method presented in this paper. This is discussed more fully in Sec. 3.3. 2.3 Reconfigurable Systems Reconfigurable systems are capable of changing their architecture repeatedly and reversibly to meet new objectives. This allows products to achieve various configurations used to fulfill several purposes. In this sense, collaborative products are a type of reconfigurable system. There are three primary purposes for reconfigurable systems. They are: (i) Multi-ability: the ability to perform multiple functions over time but not concurrently, (ii) Evolution: the ability to morph the system into future configurations, and (iii) Survivability: the ability to maintain a level of functionality despite failures in some components [10]. Collaborative products are designed for multi-ability. While the functional goals of reconfiguration, and collaborative products are similar, the means to achieve them is noticeably different. As the design of collaborative products requires simultaneous consideration of multiple products, a specialized method is needed and is presented in this paper. 2.4 Engineering-Based Poverty Alleviation There has been a significant amount of effort (mostly outside of engineering) dedicated to poverty alleviation, with over $2 trillion spent on foreign aid since the 1950 s [11]. Additionally, there are a number of individuals who are contributing to poverty alleviation through product engineering. The work of these individuals is primarily focused on developing inexpensive products, environmentally-conscious products, and products that enable those in poverty to increase their incomes [2, 3, 12] Although there are various organizations that develop products to both sell and donate to those in poverty, the majority of the world s engineers develop products for the wealthy living in developed countries. As such, those living in poverty are rarely the focus of engineering methods, tools, and solutions, even though they represent a significant untapped market [2]. 3 Copyright c 2011 by ASME

1 Select Product Category Yes Adjust Product Category? Large Farm Tools Farming Tools Small Farm Tools No 2 Perform Extensive Product Search Yes Extend Product List? FIGURE 3. Power Tools Manual Tools SMALL MANUAL FARMING TOOLS TAXONOMY 3 4 5 Yes Decompose Products into Primary Components Identify Optimized Product Sets Select Product Set Extend Product List? No 7 8 Identify Interfaces 6 No Product Set Acceptable? Yes No Add Missing Components Complete Detailed Product Design are selected. In a practical sense, a product set is a group of products whose components are considered for recombination into a collaborative product. Therefore, a product category may be: tools, computer accessories, vehicles, toys, or any other combination of products or product groups. Because various methods can be used to complete this step, no single method is prescribed here. However, the following guidelines are provided to assist in the selection of a suitable product category. The selected category can be as specific or as broad as desired. For example, when creating a collaborative farming tool, the category of tools could be selected, or the category could be narrowed to small farming tools, or narrowed further to small manual farming tools, etc., as shown in Fig. 3. Choosing a narrower category makes Steps 2-6 less intensive. On the other hand, selecting a broader category increases the likelihood that a suitable (defined more specifically later in the paper) collaborative product will be identified. This trade-off should be considered when choosing a product category. However, the authors have observed that a product category with 30 or more products therein, as described in Step 2, is more likely to result in successfully identifying a suitable collaborative product. FIGURE 2. 8-STEP PROCESS FOR DESIGNING COLLABORA- TIVE PRODUCTS 3 METHOD FOR DESIGNING COLLABORATIVE PRODUCTS This section presents a methodology for designing collaborative products. The presented method is an 8-step process, as illustrated in the flow chart presented in Fig. 2. A discussion of each step is provided in this section. 3.1 Step 1: Select Product Category The method for designing collaborative products begins by selecting a product category. A product category is the area in which a collaborative product and its corresponding product set 3.2 Step 2: Perform Extensive Product Search The next step in the method is to create a list of products within the product category selected in Step 1. Search methods may include: prior knowledge, Internet search engines, product libraries, company resources/inventory, or any other suitable product search method. When creating a product list, recall that identifying a greater number of products will increase the likelihood that a desirable collaborative product will be identified. However, in determining the number of products to include in the product list, the tradeoff between the method intensity and the likelihood that a suitable collaborative product will be identified should be taken into account. Before identifying a product list, it is suggested that products that are unlikely to be purchased by the end user be omitted from the list. 4 Copyright c 2011 by ASME

3.3 Step 3: Decompose Products into Primary Components To allow for product components to be temporarily recombined into a collaborative product, the primary components of each product must be identified. To further concentrate the decomposition, a target collaborative product (termed target product) is first selected. A target product is one of the products from the product list that is selected to become a collaborative product. Primary components are the physical components required for target and non-target products to perform their intended function(s). Consequently, the decomposition activities will typically not include secondary components such as fasteners. Ultimately, numerous component combinations will be checked for compatibility and evaluated in search of a desirable collaborative product. To decompose the products in the product list (created in Step 2), a recombination table similar to Tab. 1 is created. Within this table, rows identify products in the product list and columns identify primary components. Values in the table link the components to the products. Additionally, the target column is used to identify the target product. This is done by placing a 1 in the corresponding row of the target column. A suitable target product is likely to have a greater number of components than many of the other products in the product list. Once the target product is selected, it is decomposed into primary components and a column is created for each component identified. After decomposing the target product, the other products in the product list are decomposed relative to the target product. This means that each product s components are examined to determine whether they could provide the physical requirements as one of the components in the target product. Similar components are entered into corresponding columns of the recombination table while additional primary components (those not required for the target product) are entered into subsequent columns. When decomposing products, each product should be listed in the Product Name column. A 1 should be entered for each primary component that makes up the product. This is done for each product in the product list, and another column is created each time a new component type is identified. For example, if a rake were to be added to the product list given in Tab. 1, a 1 would be entered in the Long Handle column and a new column would be created for Rake End. However, if a product has more than one of the specified components (e.g., if it has two handles), the number of component instantiations should be placed in the corresponding column. An example of this, shown in Tab. 1, is the 2 in the Long Handle column of the wheelbarrow. 3.4 Step 4: Identify Optimized Product Sets After the products are decomposed into primary components, a numerical optimization routine is used to identify an optimized product set. An optimized product set is identified as: TABLE 1. Product Name FARMING TOOL RECOMBINATION TABLE Target Product Long Handle Shovel End Components Small Cart Scythe End Short Handle Wheel Plow 1 2 1 1 0 0 0 Shovel 0 1 1 0 0 0 0 Scythe 0 1 0 0 1 0 0 Sickle 0 0 0 0 1 1 0 Wheelbarrow 0 2 0 1 0 0 1 1. A set containing a maximum number of primary components required by a target product (N m ) 2. A set containing a minimum number of products (N p ) 3. A set containing a minimum number of additional primary components (N a ) The optimization routine uses the relationships provided in the recombination table to search for an optimized product set. In order to identify an optimized product set, the following optimization problem statement is used: subject to: where: min S C (1) 0 S i i {1,2,...,N l } (2) N t N p N r (3) C = 1 (4C + 1) 4C (4) C = w mn m + w p (N p N t ) + w a N a N r (5) N m = N c i=1 (real( F i )) 2 (6) 5 Copyright c 2011 by ASME

N c N a = i=1 (real( F i )) 2 (7) F = T P (8) P i = N l j=1 S j M j,i (9) w a + w m + w p = 1 (10) 0 w a,w m,w p (11) where the collaboration factor (C) is a weighted aggregate objective function [13]; w a, w m, and w p are weights specified by the designer; and C, F, M, N a, N c, N l, N m, N p, N r, N t, P, S, and T are defined in the nomenclature section of this paper. Equation 1 minimizes C by changing the values of S i in vector S. C is a nonlinear normalization of C that provides a near linear approximation for suitable values of C while compressing C values for unsuitable product sets, providing more emphasis to suitable product sets. The theoretical minimum value of C is 0 while the theoretical maximum is 1, resulting in C values close to 1 for less suitable product sets. Vector S identifies products from the product list included in a product set. For example, a potential S vector for Tab. 1 could be S = {0,2,0,0,1}. This product set includes two round shovel and one wheelbarrow. As a collaborative product is created from two or more products, the theoretical minimum number of products in a product set, N t, is set equal to 2. Additionally, since an optimized product set requires each product to contribute at least one component required by the target product, N r is the maximum number of products in a product set. Equations (6) and (7) sum the missing and additional components, identified in vector F as negative and positive values. The real part of the square root of each value in F is squared and summed to determine the number of missing components. The additional components are summed in like manner by first switching the sign of each value before continuing the process. 3.5 Step 5: Select Product Set The optimization formulation presented in Sec. 3.4 returns an optimized product set. If this set is suitable, meaning it has a small C value and is deemed desirable based on unmodeled objectives of the designer, it proceeds to the remaining steps of the method. If it is not, the designer may return to a previous step and make adjustments to the information that is ultimately used in the optimization procedure. This will potentially improve the optimization result. For example, returning to Step 1 and broadening the product category or returning to Step 3 to perform a more thorough product decomposition could be beneficial. However, as shown in Fig. 2, if a previous step is repeated, each subsequent step must also be repeated. As identified in Sec. 3.4, the theoretical minimum value of C is 0 while the theoretical maximum is 1. The decision to return to previous steps is based on how close the set is to this theoretical minimum value of C and on review of the product set to determine if it is desirable. 3.6 Step 6: Add Missing Components The optimized product set may not include each primary component required by the target product. This is most likely to occur because no other product in the product list contains the required components. If all the required component(s) have been included, this step is skipped. However, if the product set has missing component(s), one of the following methods should be used: 1. Return to Step 2 and add additional product(s) into the recombination table that contain(s) the missing component(s) and repeat Steps 3-6. This will most often result in the creation of a new optimized product set. 2. Add the additional product(s) mentioned in method 1 into the product set without repeating Steps 3-6. Clearly this type of addition, which does not reevaluate the optimization criteria once the addition has been made, may lead to suboptimal results. 3. Add additional product(s) to the product set that have no other purpose than to fulfill the component requirement(s) missing from the product set. For example, if a required hinge component was missing from a product set, a hinge could simply be added to the product set. This will result in a product set where each product does not function individually. 4. Incorporate the missing component(s) into product(s) within the product set. A shovel, for example, could be altered to include a twisting motion if that function were needed within the product set. This will often lead to select products in the product set with increased cost, size, and weight. 5. In the event that the missing component(s) are contained in product(s) already included in the product list that were not included in the optimized product set, those product(s) may be added to the product set. This is most likely to result in a product set containing excessive additional components. Although these methods are similar, the selection of any one of these may result in either adding intensity to the method or impacting the performance of the products once design is completed. It is important to take into account the potential impact the selected method will have, especially on the cost, weight, and 6 Copyright c 2011 by ASME

size of the final products by identifying the potential increase in the number of missing and additional components. 3.7 Step 7: Identify Interfaces Before completing the detailed design of each product in the product set, product interfaces are identified in preparation for inclusion in the final design. These interfaces are an essential part of the user experience and fundamentally influence the reliability and safety of implementing a collaborative configuration. Though a detailed procedure for this step is not specified, some design guidelines to develop these interfaces are provided. When designing collaborative products it is important to recognize that increasing a product set s collaboration factor will likely involve tradeoffs. Specifically, it may increase individual product cost, decrease individual product functionality, and increase difficulty of switching between configurations. Therefore the designer should carefully assess the larger impact of interface decisions, and should generally seek those that maximize the task-per-cost ratio discussed in Sec. 1. Additionally, recalling the discussion of Sec. 2.1, the designer should consider the characteristics of Type II modularity, as many collaborative products can be cost-effectively implemented with this type of modularity. Finally, note that this step may be completed using traditional concept generation and selection methods [7, 9], which allow for a variety of interface concepts to be identified and the most desirable concept to be selected. 3.8 Step 8: Complete Detailed Product Design Once the product interfaces have been identified, detailed product design is completed for each product in the optimized product set. Although in many aspects the products in the optimized product set will be designed separately, it is important that the interactions between these products be well understood while completing the designs. Among other things, understanding the interactions is likely to influence: material choice, product geometry, stress/strain objectives, human factors, and product aesthetics. 4 EXAMPLE: COLLABORATIVE BLOCK PLANE This section provides an implementation of the method presented in Sec. 3. For clarity in demonstrating the method, the design of a simple collaborative block plane is provided. This income-generating block plane achieves reductions in cost, weight, and size of 44%, 38%, and 44%, respectively. The design of a collaborative apple peeler is also presented. 4.1 Example Step 1: Select Product Category The method begins with the selection of a product category. As this example is focused on designing an income-generating Woodworking Tools Power Tools FIGURE 4. Tools Hand Tools Mechanic's Tools WOODWORKING HAND TOOLS TAXONOMY collaborative product for poverty alleviation, the category of tools is selected (see Fig. 4). However, because this category is broad, it is narrowed to woodworking tools and mechanic s tools. Woodworking tools is selected because those in poverty are less likely to have automobiles. Also, since those in poverty are less likely to use power tools due to limited or no access to electricity [14], this category is narrowed further, and woodworking hand tools is selected as the final product category. 4.2 Example Step 2: Perform Extensive Product Search A list of woodworking hand tools is now created. This is accomplished using the following search methods: prior knowledge, Internet search engines, and product catalogs. Before beginning the product search, it is determined that the search will be concluded once 50 products are identified. While creating the list, products considered unlikely to be purchased by those in poverty, such as specialized woodworking tools, are not included in the product list. A portion of the product list is provided in the left side of Tab. 2. 4.3 Example Step 3: Decompose Products into Primary Components The block plane is selected as the target product due to its number of components compared to the other products in the product list, and a 1 is placed in the corresponding row of the target column. The block plane is then decomposed into primary components. Each of the other products in the product list are also decomposed into components. Components that are similar to the block plane s primary components are entered into corresponding columns and additional components are entered into subsequent columns. A portion of the resulting recombination table is provided in Tab. 2. 4.4 Example Step 4: Identify Optimized Product Sets The information in the recombination table (Tab. 2) is used to form the relationships that govern the optimization routine presented in Sec. 3.4. The optimization routine is executed using weights of w m = 0.60, w p = 0.24, and w a = 0.16. The product set returned by the optimization routine is a chisel and a sanding 7 Copyright c 2011 by ASME

TABLE 2. WOODWORKING HAND TOOLS RECOMBINATION TABLE Primary Components Target Product Block Blade Handle Punch Back Saw Blade Bar Clamp Product Name Short Screw Bent-C File Ruler Hammer Head Square Handle Block Plane 1 1 1 1 0 0 0 0 0 0 0 0 0 0 Awl 0 0 0 1 1 0 0 0 0 0 0 0 0 0 Back Saw 0 0 0 1 0 1 0 0 0 0 0 0 0 0 Bar Clamp 0 0 0 0 0 0 1 1 0 0 0 0 0 0 C-Clamp 0 0 0 1 0 0 0 0 1 1 0 0 0 0 Cabinet Scraper 0 0 1 2 0 0 0 0 0 0 0 0 0 0 Chisel 0 0 1 1 0 0 0 0 0 0 0 0 0 0 File 0 0 0 1 0 0 0 0 0 0 1 0 0 0 Ruler 0 0 0 0 0 0 0 0 0 0 0 1 0 0 Hammer 0 0 0 1 0 0 0 0 0 0 0 0 1 0 Sanding Block 0 1 0 0 0 0 0 0 0 0 0 0 0 0 Square 0 0 0 0 0 0 0 0 0 0 0 1 0 1 block with C = 0.00. We note that because this simple example is designed to quickly illustrate the process, it is also one that is ideal in the sense that there is no tradeoff between the competing objectives in Eqn. 5. For this reason, the results are insensitive to the selection of weight values. For non-ideal problems, this will not be the case. product set. In this example, this step is skipped as the optimized product set identified for the block plane contains all of the components required by the block plane. However, if a product set containing the chisel and file had been selected, the missing blade component required by the target product would need to be added, as described in Sec. 3.6. 4.5 Example Step 5: Select Product Set In this step of the process, the optimized product set for the block plane is reviewed. It is conclude that this is a suitable product set because C = 0.00, and the product set is desirable because a sanding block, chisel, and block plane are complementary woodworking tools that could be realistically used for income generation. Therefore, the set proceeds to the remaining steps of the method and there is no need to return to previous steps. 4.6 Example Step 6: Add Missing Components To complete the method, it is necessary to include each of the primary components required by the target product in the 4.7 Example Step 7: Identify Interfaces Before detailed product design activities begin, interfaces between the chisel and sanding block are identified. To allow the block plane to function effectively, interfaces are required to secure the chisel blade to the sanding block. This is done by adding a groove to the sanding block and by using the plates that secure the sand paper to the sanding block to also secure the chisel blade to the sanding block. Additionally, as a handle is needed on the front of the block plane, interfaces with the chisel handle are identified for both the chisel blade and sanding block. This is accomplished by adding external threads to the chisel handle and by adding internal threads to both the chisel blade and sanding block. These component interfaces are shown in Fig. 5. 8 Copyright c 2011 by ASME

TABLE 3. APPLE PEELER RECOMBINATION TABLE Primary Components Chisel Sanding Block Target Product Peeler Base Peeler Shaft Peeler Handle Clamp Can Opener Handle Towel Rod Roller Product Name Apple Peeler 1 1 1 1 1 1 0 0 0 0 C-Clamp 0 0 0 0 0 1 0 0 0 0 Can Opener 0 0 0 0 1 0 1 0 0 0 Paper Towel Holder 0 1 0 0 0 0 0 0 1 0 Potato Peeler 0 0 1 0 0 0 0 1 0 0 Rolling Pin 0 0 0 1 0 0 0 2 0 1 FIGURE 5. Block Plane COLLABORATIVE BLOCK PLANE 4.8 Example Step 8: Complete Detailed Product Designs The final step of the method is to complete the detailed design of the chisel and sanding block. The design of these products will ultimately determine the block plane design. Design of the chisel and sanding block are completed in parallel, where frequent consideration is given to the appearance, performance, cost, weight, and size of the block plane. This results in an efficient design for each of the products. 4.9 Results The example presented in this section provided a demonstration of the method for designing collaborative products. The completed block plane design, as shown in Fig. 5, is created by joining components of a chisel and sanding block. The resulting product has additional benefits for poverty alleviation including reductions in cost, weight, and size. This occurs as a result of the block plane being created from the chisel and sanding block hardware. To further illustrate these reductions, comparable chisels, sanding blocks, and block planes respectively cost approximately $12, $7, and $22; weigh approximately 0.45 kg, 0.34 kg, and 0.68 kg; with approximate outer bounding box volumes of 107 cm 3, 221 cm 3, and 492 cm 3. This results in a total cost of $41, a total weight of 1.47 kg, and a total volume of 820 cm 3. In comparison, the collaborative chisel and sanding block will need several design and manufacturing changes to allow for the creation of an effective block plane, it is assumed that they will each cost an additional $2, weigh an additional 0.06 kg, and increase in volume by 66 cm 3. The redesigned chisel and sanding block will respectively cost approximately $14 and $9, with weights of 0.51 kg and 0.40 kg, and volumes of 173 cm 3 and 287 cm 3. This results in a total cost, weight, and size of $23, 0.91 kg, and 460 cm 3 with respective reductions in cost, weight, and size of 44%, 38%, and 44% as compared to the original $41, 1.47 kg, and 820 cm 3. 4.10 Additional Implementation: Apple Peeler A simple example was presented in the previous sections to facilitate a clear understanding of the method. However, the method is also capable of solving more complex problems. To illustrate this, the method was used to identify an optimized product set from a set of kitchen tools for recombination into an apple peeler. This apple peeler is designed for use by those living in poverty in developed countries. An optimized product set was selected (using the method presented in this paper) from the products within the recombination table partially shown in Tab. 3. The result is a collaborative product with C = 0.68 and reductions in cost, weight, and size of 20%, 21%, and 24%, respectively. The products in the product set, the breakdown of the components, and the recombination of the components into the apple peeler are presented in Fig. 6. Note that while C is high compared to the collaborative block plane, it still results in a suitable collaborative product. 5 CONCLUDING REMARKS This paper has presented a method for designing collaborative products for poverty alleviation. The primary result of the method is the reduction in cost, weight, and size of a set of prod- 9 Copyright c 2011 by ASME

ACKNOWLEDGMENT The authors would like to recognize the National Science Foundation Grant CMMI-0954580 for funding this research. FIGURE 6. COLLABORATIVE APPLE PEELER ucts by temporarily recombining components from two or more products to form another product capable of performing additional tasks. These reductions are especially useful in the design of products for poverty alleviation. To illustrate the method and these reductions, the block plane and apple peeler examples in Sec. 4, were provided. From the examples, it was shown that the method introduced herein provides a new and useful tool to assist in the design of products for poverty alleviation. Additional research on this topic includes developing a method for designing the interfaces of collaborative products, creating a more detailed approach to classifying the primary components to be used in the presented method, and combining the method with an optimization routine to assist in the detailed design process. REFERENCES [1] T. W. Bank, World development indicators, tech. rep., The World Bank, 2010. [2] P. Polak, Out of Poverty: What Works When Traditional Approaches Fail. Berret-Koeler Publishers Inc., 2008. [3] M. Fisher, Income is development, Innovations, vol. 1, pp. 9 30, 2006. [4] International Development Enterprises, Rural Wealth Creation: Strategic Directions for IDE, 2008. [5] A. Bishaw and S. Macartney, Poverty: 2008 and 2009, tech. rep., U.S. Department of Commerce, 2010. [6] M. B. Strong, S. P. Magleby, and A. R. Parkinson, A classification method to compare modular product concepts, in Proceedings of DETC 03: ASME Design Engineering Technical Conferences and Design Theory and Methodology, 2003. [7] K. T. Ulrich and S. D. Eppinger, Product Design and Development. Mcgraw-Hill/Irwin, 2008. [8] A. K. Kamrani and S. M. Salhieh, Product Design for Modularity. Kluwer Academic Publishers, 2002. [9] G. Paul, W. Beitz, J. Feldhusen, and K. H. Grote, Engineering Design: A Systematic Approach. Springer-Verlag, 2007. [10] S. Ferguson, A. Siddiqi, K. Lewis, and O. L. de Weck, Flexible and reconfigurable systems: Nomenclature and review, in Proceedings of the ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2007. [11] W. Easterly, The White Man s Burden: Why the West s Efforts to Aid the Rest Have Done So Much Ill and So Little Good. The Penguin Group, 2006. [12] P. K. Lewis, V. R. Murray, and C. A. Mattson, Identification of modular product platforms and modules that account for changing consumer needs, in 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2010. [13] A. Messac, C. Puemi-Sukam, and E. Melachrinoudis, Aggregate objective functions and pareto frontiers: Required relationships and practical implications, Optimization and Engineering, vol. 1, pp. 171 188, 2000. [14] P. Polak, P.Reid, and A. Schefer, 2.4 billion customers: How business can scale solutions to poverty, Innovations, vol. 5, pp. 137 152, 2010. 10 Copyright c 2011 by ASME