Analytic network process-based model for selecting an optimal product design solution with zero–one goal programming

Strategic evaluation and supplier selection, or strategic supply, is a main subject of supply chain management. Strategic evaluation and supplier selection is a multi-criteria decision problem, considering both tangible and intangible criteria and organizations are seeking various and sometimes opposite objectives in purchasing from suppliers. As the increasing rivalry in Iran’s auto industry, producers and suppliers face several challenges. Sazeh Gostar Saipa Co., the main supplier of Saipa automobile maker firm, is not exempt of this norm. Top managers of the company believe that the best supplier selection for long-term cooperation is vital for the implementation of corporate strategies. In this paper, using decision technique of Analytic Network Process (ANP) and Base Overhead Cost Recovery (BOCR), 20 tangible and intangible operational and strategic criteria are considered in the supplier selection decision through a suggested methodology. Different organizations’ goals in purchasing from suppliers that are ranked in the previous stage are formulated to determine the amount of supply allocation to each supplier based on goals. The innovation aspect and main goal of the research are suggesting a methodology for selecting suppliers and determining the amount of allocated orders to them with combining ANP method, BOCR structure and goal programming in Sazeh Gostar Saipa Co.

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Maintenance Strategy Evaluation Using ANP and Goal Programming

Management Theories and Strategic Practices for Decision Making ◽

10.4018/978-1-4666-2473-3.ch007 ◽

2012 ◽

pp. 117-138

Author(s):

Sarojini Jajimoggala ◽

V. V. S. Kesava Rao ◽

Beela Satyanarayana

Keyword(s):

Goal Programming ◽

Multiple Criteria Decision Making ◽

Cost Savings ◽

Integrated Approach ◽

Analytic Network Process ◽

Maintenance Strategy ◽

Maintenance Policy ◽

Strategy Evaluation ◽

Network Process ◽

Criteria Weights

An optimal maintenance strategy mix is necessary for increasing availability and reliability levels of production facilities without significantly increasing operational costs. The selection of maintenance strategies is a typical Multiple Criteria Decision-Making (MCDM) problem with conflicting goals. Consideration of interdependence among the criteria and alternative policies for maintenance strategy provides valuable cost savings and greater benefits for any hybrid flow systems. For any decision maker, it is convenient to prioritize the criteria of MCDM problems and goals of goal programming problems in fuzzy terms. This paper presents an integrated approach for maintenance policy selection, using fuzzy Analytic Network Process (ANP) within a Goal Programming, based on fuzzy preemptive priority where goal hierarchies are specified in different levels of fuzzy importance. To overcome the criticism of inconsistency, unbalanced scale of judgments and uncertainty in the pair-wise comparison process, criteria weights are determined using modified fuzzy LLSM method.

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Selecting a weapon system using zero-one goal programming and analytic network process

Journal of Information and Optimization Sciences ◽

10.1080/02522667.2006.10699697 ◽

2006 ◽

Vol 27 (2) ◽

pp. 379-399 ◽

Cited By ~ 10

Author(s):

Ren-Shuai Chen ◽

Joseph Z. Shyu

Keyword(s):

Goal Programming ◽

Analytic Network Process ◽

Weapon System ◽

Network Process

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Decision Model of Design for Elderly Wearable Health Monitoring Products Based on Quality Function Deployment and Analytic Network Process

Journal of Medical Imaging and Health Informatics ◽

10.1166/jmihi.2020.3239 ◽

2020 ◽

Vol 10 (12) ◽

pp. 2805-2813

Author(s):

Lin Zhu

Keyword(s):

Product Design ◽

Health Monitoring ◽

Index System ◽

Quality Function Deployment ◽

The Elderly ◽

Analytic Network Process ◽

House Of Quality ◽

Quality Model ◽

Network Process ◽

Qfd Method

Facing the current situation of aging society, the health of the elderly has once again become an important issue related to people's livelihood. Aiming at the health problems of the elderly, with the improvement of science and technology, a series of wearable health monitoring products targeted at the elderly have gradually appeared. In order to accurately provide the elderly with a good experience in the interaction of wearable health monitoring products, this article obtains the needs of the elderly according to the research content of ergonomics, and addresses the needs of the elderly from their physical, psychological and Three angles of interaction were classified; then based on the demand, a Quality Function Deployment (QFD) method was used to build a house of quality model, which transformed the needs of the elderly into design requirements, and combined with Analytic Network Process (ANP) to build a model evaluation index system. Combining the house of quality model with the network analysis method, so that the advantages of the ANP method can be fully utilized, the shortcomings of the QFD method can be overcome, and the degree of interaction between factors in the index system can be better reflected, so that the attribute weights given are more reasonable. Finally, a fuzzy QFDANP method model for the selection and modification of such product design schemes is constructed, which not only avoids the subjective and unreasonable factors of the initial requirements acquisition of the product design, but also can target the applicability requirements of the product functions and structure Modifications provide clear goals for the design and selection of design options for such products. The validity and practicability of the method are verified by examples.

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An extended analytic network process method for optimal design of reconfigurable products considering dependency relations among descriptions of design/process candidates and evaluation criteria

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406220932606 ◽

2020 ◽

Vol 234 (24) ◽

pp. 4763-4779

Author(s):

Moustafa Gadalla ◽

Deyi Xue

Keyword(s):

Optimal Design ◽

Product Design ◽

Design Process ◽

Evaluation Criteria ◽

Analytic Network Process ◽

Network Process ◽

Dependency Relations ◽

Reconfigurable Product ◽

Process Method

A reconfigurable product serves as multiple products to deliver different functions through reconfiguration processes to change between product configurations. An optimization method was developed in our previous research to identify both the optimal design and the optimal reconfiguration processes. Because the generic design or process considering different candidates was modeled by an AND–OR tree or graph, importance weights were assigned to nodes with an AND or OR relation, such that the less-important nodes were pruned to improve the optimization efficiency. In this research, an extended analytic network process method is introduced to further improve the quality of the optimal reconfigurable product design approach when dependency relations among descriptions of design/process candidates and evaluation criteria are considered. In this method, the initial weights of the design/process nodes in the AND–OR tree or graph are adjusted based on the dependency relations such that the weights which truly reflect their contributions to the solutions are achieved. In addition, multiple evaluation criteria similar to the evaluation measures used in optimization are selected to identify the weights of the design/process nodes. A case study has been implemented to demonstrate effectiveness of the extended analytic network process for improving the quality of optimal reconfigurable product design.

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