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1 – 10 of over 21000Fariborz Y. Partovi, Jonathan Burton and Avijit Banerjee
The use of Analytical Hierarchy Process (AHP) is an effective wayto deal with qualitative decision areas of operations management. Fourpublished applications of AHP are briefly…
Abstract
The use of Analytical Hierarchy Process (AHP) is an effective way to deal with qualitative decision areas of operations management. Four published applications of AHP are briefly reviewed in forecasting, supplier selection, facility location, and choice of technology. Furthermore, four more potential applications are suggested in other areas of operations management, including product design, plant layout, maintenance frequency selection, and choice of logistic carrier. In addition, suggestions for other areas of research are discussed.
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A. Hambali, S.M. Sapuan, N. Ismail and Y. Nukman
Selection of the design concepts is one of the significant activities in product development process. Most of the products are usually failed due to inappropriate decision during…
Abstract
Selection of the design concepts is one of the significant activities in product development process. Most of the products are usually failed due to inappropriate decision during the selection of the design concepts at the early stage of product development process. The determination of the greatest selection of design concepts at the conceptual design stage is a crucial decision due to a poor design concept which can never be compensated for by a good detailed design and it will implicate great expense of redesign cost. Analytical Hierarchy Process (AHP) is one available method in forming a systematic approach for a single decision maker or a group decision maker, is employed to solve such problem. In this paper, 7 design concepts of wheelchair designs were considered as a case study. The AHP through utilizing Expert Choice software was implemented to determine the most suitable design concept of wheelchair design at the conceptual design stage. The sensitivity analysis was performed to test the stability of the priority ranking and to increase the confidence in the selection of design concepts.
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Mehmet Sevkli, S.C. Lenny Koh, Selim Zaim, Mehmet Demirbag and Ekrem Tatoglu
This paper aims to propose a new approach called “analytical hierarchy process weighted fuzzy linear programming model (AHP‐FLP)” for supplier selection.
Abstract
Purpose
This paper aims to propose a new approach called “analytical hierarchy process weighted fuzzy linear programming model (AHP‐FLP)” for supplier selection.
Design/methodology/approach
A hybrid method of supplier selection, AHP‐FLP is applied to a real industry case. The weights of the various criteria, taken as local weights from a given judgment matrix, are calculated using analytical hierarchy process (AHP) that are also considered as the weights of the fuzzy linear programming model. This new model is compared with the classical AHP method.
Findings
This study concluded that the AHP‐FLP method outperforms the AHP method for supplier selection with respect to restricted supplier selection criteria. Drawing on a real case, Supplier 1 was identified to be the best supplier through the AHP model under no restrictions, which contradicts the finding that Supplier 2 was selected as the best supplier by the AHP‐FLP model subject to constraints.
Research limitations/implications
More research is definitely called for within the context of studying a more complex supply chain with multiple supply network and nodes. There is also a crucial need for investigating other hybrid methods to find the optimum supplier.
Practical implications
The findings of this study indicate that the weights of supplier selection criteria calculated by the AHP‐FLP model are in line with the actual supplier selection decision of purchasing managers. Since the AHP‐FLP model is relatively more difficult to implement compared with the crisp AHP, its application will be more appropriate for high‐value components where stringent purchasing criteria are required. In contrast, AHP remains an appropriate approach for relatively lower value components (C class).
Originality/value
The novelty of this study lies in the application of a hybrid approach to a real industry case. This study has dealt with one of the most important subjects in supply chain management, providing a better decision for supplier selection using appropriate quantitative techniques.
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Seow Eng Ong and Teck Ian Chew
Property investment requires accurate market forecasts. The use of judgemental forecasting to predict property market performance is well established and widely practised…
Abstract
Property investment requires accurate market forecasts. The use of judgemental forecasting to predict property market performance is well established and widely practised. However, the need to deal with a large number of variables and to assess the impact of structural, exogenous and policy changes makes forecasting an inextricably difficult task, given the limitations of holistic forecasting. Proposes the incorporation of the analytical hierarchy process (AHP) to translate expert judgement into accurate and meaningful market forecasts. Such an approach facilitates communication of expert judgement and at the same time provides feedback for the expert. Provides a 12‐month forecast of the Singapore residential property market to illustrate the expert judgemental‐AHP approach.
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M. Ilangkumaran, V. Sasirekha, L. Anojkumar, G. Sakthivel, M. Boopathi Raja, T. Ruban Sundara Raj, CNS. Siddhartha, P. Nizamuddin and S. Praveen Kumar
This paper aims to describe an application of hybrid Multi Criteria Decision Making (MCDM) technique for the selection of wastewater treatment (WWT) technology for treating…
Abstract
Purpose
This paper aims to describe an application of hybrid Multi Criteria Decision Making (MCDM) technique for the selection of wastewater treatment (WWT) technology for treating wastewater.
Design/methodology/approach
The proposed approach is based on Analytical Hierarchy Process (AHP) under fuzzy environment, Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) and hierarchy Grey Relation Analysis (GRA) techniques. Two models are proposed to evaluate the best WWT. The first model, Fuzzy Analytical Hierarchy Process (FAHP) is integrated with Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) technique. The second model, FAHP is integrated with hierarchy Grey Relation Analysis (GRA) technique. The Fuzzy Analytical Hierarchy Process (FAHP) is used to determine the weights of criteria and then ranking of the WWT technology is determined by PROMETHEE and GRA.
Findings
An efficient pair‐wise comparison process and ranking of alternatives can be achieved for WWT technology selection through the integration of FAHP and PROMETHEE, FAHP and GRA.
Originality/value
The paper highlights a new insight into MCDM techniques to select an optimum WWT technology selection for the paper manufacturing industry.
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Gu-Hong Lin, Cheng-An Chuang, Cheng Ling Tan, Sook Fern Yeo and Fan-Yi Wu
Refractory materials are now used in all major industries that demand high-temperature resistance, including petrochemicals, steel, cement and aviation. Businesses must decrease…
Abstract
Purpose
Refractory materials are now used in all major industries that demand high-temperature resistance, including petrochemicals, steel, cement and aviation. Businesses must decrease operating costs, enhance product technology, sell well and manage corporate risks in decision-making, notably supplier selection, to be more competitive. The study aims to determine the key criteria and factors of supplier selection and to evaluate the importance of the key factor of the supplier selection criteria for the refractory materials manufacturers in Taiwan.
Design/methodology/approach
Analytical hierarchy process (AHP) is used to rank these factors for the decision maker. The AHP method is suitable for verifying refractory supplier selection criteria and providing references. The weighted loss scores for each supplier are then determined using the relative importance as the weights. Supplier selection criteria are ranked using their aggregate weighted loss scores. The provider with the lowest loss score should be chosen.
Findings
Product quality is the most significant of the five criteria: product quality, production technology, logistics capacity, service capability and supplier background. Professionalism is the most significant aspect of product quality, whereas equipment and capacity are vital in manufacturing techniques. The studies also show that the delivery rate is essential for logistics and service capabilities.
Practical implications
This research has important implications for refractory suppliers in promptly fine-tuning the production and service to enhance customer satisfaction, which is key to business sustainability.
Originality/value
The application of an AHP technique to a real-world industrial issue is what makes this research unique. This research addressed one of the most critical topics in supply chain operations by offering better judgement for supplier selection via the use of suitable quantitative methodologies.
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Vinod Yadav and Milind Kumar Sharma
The problem of supplier selection gets complicated when a company looks for various criteria to evaluate different suppliers. The decision criteria used for supplier selection…
Abstract
Purpose
The problem of supplier selection gets complicated when a company looks for various criteria to evaluate different suppliers. The decision criteria used for supplier selection process can be different for different organizations due to a large number of factors. Hence, it can be said that supplier selection is basically, a multiple criteria decision-making (MCDM) problem. The purpose of this paper is to propose a hybrid data envelopment analytical hierarchy process (DEAHP) approach to solve the supplier selection problem for an automobile company.
Design/methodology/approach
In this study, the data envelopment analysis (DEA) approach is embedded into analytic hierarchy process (AHP) methodology. Literature review suggested that majority of researches found it appropriate using DEA and AHP methodologies for supplier selection process; hence it is felt that a hybrid DEAHP would be a useful methodology to offer a MCDM model for supplier selection problem.
Findings
First, the key criteria of the supplier selection problem for the company are identified. Then a model is developed and implemented for supplier selection using DEAHP approach. This study concluded that quality, cost and service are the most crucial criteria for an automobile company operational in a developing country like India. Sensitivity analysis further helped to evaluate suppliers based on each criterion.
Research limitations/implications
As this analysis and findings are based on only one case study of an Indian automobile company, and this necessitates caution in interpreting the results. The limited number of interviewed managers in a company restricts the generalizability of the results. Though the company selected for this study is typical of developing country businesses, the findings of the paper may not be readily extensible to other companies. Second, this study used retrospective settings, based on the interviewed feedback after the events had occurred. This method naturally poses limitations due to respondent recall and the accuracy of information provided. Third, the problem chosen for this study is based in a single country context and further additional research will be required to examine if the findings could be extended to other automobile companies in other developing nations. Also in some cases technique used in the study may pose some extra computational efforts.
Practical implications
This study points out the importance of the supplier selection problem. It provides key criteria for supplier selection in Indian context also proposes a framework to deal with multiple criteria. proposed model deals with two crucial criteria long term relationships and flexibility which were relatively less discussed and considered in the literature in past.
Originality/value
The proposed MCDM model can provide the guidelines and directions for the decision makers to effectively choose suppliers in the current competitive environment.
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Arash Shahin and M. Ali Mahbod
The purpose of this paper is to provide an integrated approach that prioritizes organizational key performance indicators (KPIs) in terms of the criteria of SMART (Specific…
Abstract
Purpose
The purpose of this paper is to provide an integrated approach that prioritizes organizational key performance indicators (KPIs) in terms of the criteria of SMART (Specific, Measurable, Attainable, Realistic, Time‐sensitive) goal setting.
Design/methodology/approach
The research was carried out using the analytical hierarchy process (AHP) technique as the basis for pairwise comparisons of SMART criteria, considering each KPI.
Findings
A new approach is outlined, encompassing step‐by‐step guidelines for decision makers to conduct the prioritization process of SMART KPIs. The results of the case study highlight the applicability of the proposed approach and the calculation process for prioritizing KPIs.
Research limitations/implications
The rating scales used in the AHP analysis are conceptual; although it identifies which dimensions require improvement, the proposed approach does not provide guidance on an appropriate action plan to address deficiencies; another limitation is that the framework adopted only the SERVQUAL service dimensions.
Originality/value
This paper gives a novel approach for prioritization of KPIs. The proposed approach has a holistic mechanism; it could empower decision‐making teams; it is capable of enhancing advanced quality engineering approaches; and provides great opportunities for future research.
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Presents a model for strategic selection of processes for benchmarking.The process selection methodology, which incorporates Saaty′s AnalyticalHierarchy Process, starts with…
Abstract
Presents a model for strategic selection of processes for benchmarking. The process selection methodology, which incorporates Saaty′s Analytical Hierarchy Process, starts with situation analysis, is followed by the differentiation of target customer wants, and concludes with the prioritization of the value chain processes to be benchmarked. The proposed methodology was implemented in a manufacturing setting. Sensitivity analysis was carried out to test the robustness of the results. The feedback from the managers who participated in the selection process confirmed the utility of this approach.
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Sanjay Kumar, Sunil Luthra and Abid Haleem
Technology transfer becoming an important area especially in developing and less developed countries. The purpose of this paper is to address issue of supply chains’ benchmarking…
Abstract
Purpose
Technology transfer becoming an important area especially in developing and less developed countries. The purpose of this paper is to address issue of supply chains’ benchmarking based upon their capability to mange technology transfer critical barriers mitigation efforts toward making technology transfer process implementation successful.
Design/methodology/approach
The present paper is based on two research stages. Initially, extensive literature review has been made to identify critical barriers. In total, 20 technology transfer critical barriers have been identified from literature review and categorized in to six criteria. In second stage, analytics hierarchy process has been utilized to rank the critical barriers of technology transfer in supply chain and provide a benchmarking framework.
Findings
Political barriers (PB) have been analyzed most significant criteria of critical barriers to technology transfer followed by socio-cultural barriers (SO) and economic barriers (EB). “Political instability,” “Difficulty in transfer and diffusion,” “Too expensive,” “Inappropriate/incompetent technology and resource wastage in technologies imported,” “Inactive role of SC members and resistance to change” and “Management attitude” have been found most hindering barrier in their respective category/criterion of technology transfer barriers.
Research limitations/implications
Scope of the present study has been limited to propose framework to benchmark supply chains by analyzing 20 critical barriers of technology transfer grouped in to six dimensions using analytical hierarchy approach based on “ratings provided by experts,” which may be biased.
Practical implications
Benchmarking process has been proposed to calculate value of total of overall weights to a particular supply chain named as “Technology Transfer Barriers Mitigation Index (TTBMI)” useful to present capability of supply chains to manage technology transfer barriers by a single numeric value. From “provider” developed county’s view point, present benchmarking framework may be further applied to compare developing countries’ ability to absorb and diffuse new technology.
Originality/value
Benchmarking procedure has been dealt with using well-established methodology- analytical hierarchy process toward providing single numeric value index (TTBMI) indicating ability of supply chains to manage/mitigate technology transfer barriers.
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