Module design with substitute parts and multiple vendors

Goldberg, Jeff; Zhu, Ji Hong

doi:10.1016/0377-2217(89)90254-3

Cited by 13 publications

(4 citation statements)

References 4 publications

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“…where f is the value of objective function of the given individual, f min and f max are the minimal and the maximal values of the objective function in the current population, respectively, and r is a small number. The roulette selection method (Goldberg, 1989) is applied in this research.…”

Section: Fitness Function and Selectionmentioning

confidence: 99%

“…Among the exceptions, Gupta and Krishnan (1999) proposed an integer-programming model to integrate component selection and supplier selection for a product family. Their work complemented Goldberg and Zhu's (1989) work by considering one-way component substitutability. However, a product variant may have different utilities for heterogeneous consumers (Balakrishnan and Chakravarty, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Joint optimization of product family design and supplier selection under multinomial logit consumer choice rule

Cao

Luo

Kwong

et al. 2012

Concurrent Engineering

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In traditional product development process, supplier selection is performed in the production stage when the product design stage has finished. Recently, some scholars found that decoupling the supplier selection and product design may lead to infeasible or suboptimal solutions, and a number of research papers proposed methods integrating supplier selection into product family design. In this research, a one-step product family optimization model integrating supplier selection decision is established based on multinomial logit consumer choice rule. As a kind of widely used discrete choice model, multinomial logit consumer choice rule is regarded to be more flexible and suitable to formulate consumer choice behavior. Genetic algorithm is developed to solve the established nonlinear optimization model. The optimization result under multinomial logit rule is compared with that under the deterministic choice rule in the case study and sensitivity analysis of the model is performed.

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Section: Fitness Function and Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint optimization of product family design and supplier selection under multinomial logit consumer choice rule

Cao

Luo

Kwong

et al. 2012

Concurrent Engineering

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“…A more recent version of the modular-design problem (see Goldberg and Zhu 1989) concerns a family of related products, each of which requires a particular combination of capabilities or functionalities. These functionalities can be provided by components in a module or by other individual components in the product.…”

Section: Related Literaturementioning

confidence: 99%

Safeway Designs Mixed-Product Pallets to Support Just-in-Time Deliveries

Chao¹,

Chen

Deng³

et al. 2005

Interfaces

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In 1998, Safeway milk plants began daily deliveries to most stores, doubling their delivery frequency. The new schedule increased the workloads for assembling orders at the milk plant by 20 percent because, under the new system, very few store orders called for full pallets of a single product, and store-specific mixed pallets were time consuming to assemble. To reduce the excess workload, we designed two types of standard mixed pallets that, in quantities of one to three, could satisfy part of the demands of many stores on most days, thereby reducing the need for store-specific mixed pallets. Our mathematical model optimizes the design of the standard mixed-product pallets. These mixed-product pallets can be assembled prior to the peak shipping periods and during other off-peak times to ease peak workloads and eliminate excessive overtime. Safeway implemented the solution without our assistance and continues to use it nearly five years after implementation with good results.

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“…While supply chain management has generated substantial interest in the context of manufacturing operations, there exists little work which focuses on supplier issues related to product development. One exception is the work of Goldberg and Zhu ( 1989), who studied the problem of determining the part content of a single module when alternate parts are available from a set of suppliers. In their work, however, they assumed that the performance of each component is additive: the functionality of a component can be doubled by using two of the same component.…”

Section: Introductionmentioning

confidence: 99%

Integrated Component and Supplier Selection for a Product Family

Gupta

Krishnan

1999

Production and Operations Management

122

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This paper examines the reduction in complexity of a product family through product design. By leveraging the commonalities among products in a family, the decision support methodology presented in the paper helps choose components and suppliers that minimize the sum of design, procurement, and usage costs. The problem of integrated component and supplier selection is conceptualized and formulated as an integer‐programming model. Analysis of the model yields two properties, complete and continuous replacement, which form the basis of a heuristic procedure. Computational tests show that the heuristic provides results close to the optimal solution and can be used for selecting components and suppliers. Application of the model to an industrial problem is discussed.

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Module design with substitute parts and multiple vendors

Cited by 13 publications

References 4 publications

Joint optimization of product family design and supplier selection under multinomial logit consumer choice rule

Joint optimization of product family design and supplier selection under multinomial logit consumer choice rule

Safeway Designs Mixed-Product Pallets to Support Just-in-Time Deliveries

Integrated Component and Supplier Selection for a Product Family

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