A mixed-model multi-objective analysis of strategic supply chain decision support in the Thai silk industry

Jatuphatwarodom, Natawat; Jones, Dylan; Ouelhadj, Djamila

doi:10.1007/s10479-018-2774-6

Cited by 12 publications

(10 citation statements)

References 37 publications

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“…AHP and goal programming were used to determine the importance of the criteria in efficiency levels. 14 The studies combining DEA and TOPSIS are similar to the studies combining DEA and AHP, since AHP and TOPSIS are two techniques that might be substituted for one another. Nonetheless, the use of TOPSIS for ranking the efficiency of units determined with DEA was much more common compared to studies combining DEA and AHP.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, it provides a measure for consistency within the judgments of the decision-makers. 14 Specifically, the strength of AHP compared to DEA is that AHP allows working with both qualitative and quantitative data. On the other hand, AHP is not effective when there is more than one objective that should be met at the same time, which is critical in performance evaluation.…”

mentioning

confidence: 99%

“…In fact, the technique for order preference by similarity to ideal solution (TOPSIS), which is another MCDM technique, is used to rank the alternatives according to a set of criteria, as in the case of AHP. 14 The alternatives are ranked simultaneously to have the shortest distance from the positive-ideal solution, in which the benefits are maximized, and the furthest distance from the negative-ideal solution, in which the costs are minimized. TOPSIS has similar deficiencies to AHP in performance evaluation.…”

mentioning

confidence: 99%

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An integrated framework for supplier selection and performance evaluation for apparel retail industry

Sarıçam

Yilmaz

2021

Textile Research Journal

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Supplier evaluation, including supplier selection and performance evaluation, has become a critical issue for apparel retailers within the apparel supply chain dealing with severe competition in the global market. An effective evaluation of suppliers requires considering both the quantitative and qualitative performance aspects and integrating the efficiency measurement. In an attempt to address this issue, this study proposes an integrated framework that can handle supplier selection and overall performance evaluation in a comprehensive but feasible manner. The proposed integrated framework customized for apparel retailers combines the current techniques having specific capabilities: data envelopment analysis (DEA), analytical hierarchy process (AHP), and the technique for order preference by similarity to ideal solution (TOPSIS). DEA has been used to make the overall performance evaluation, whereas AHP and TOPSIS have been used in combination to provide the quantitative data required by DEA. The proposed integrated framework was implemented and verified using numerical data gathered from a global apparel retailer. The findings revealed that suppliers can be more successful when they put a balanced effort into improving their performance in regards to the important criteria instead of concentrating on only the most important criterion. Moreover, the overall performance evaluation can be much more convenient and rewarding for apparel retailers in terms of finding out the true potential of suppliers when quantitative and qualitative data and efficiency measurements are taken into account at the same time.

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Section: Literature Reviewmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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An integrated framework for supplier selection and performance evaluation for apparel retail industry

Sarıçam

Yilmaz

2021

Textile Research Journal

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“…Another arrangement has been formulated namely DEA‐AHP‐GP to provide management decision support [25]. DEA was used in a descriptive sense to provide information on the efficiency of a set of units.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Use of goal programing and the fuzzy analytical hierarchy process to obtain the product mix

Zárate

Esteban

Berardi

et al. 2021

IET Collab Intel Manufact

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This study proposes a methodology that integrates Weighted Goal Programing with the Fuzzy Analytical Hierarchy Process to obtain the product mix in a multi‐bottleneck system. The problem is approached by analysing a case of a company that manufactures four products that must pass through six workstations. The opinion of four specialists involved in the decision is considered and goals are set contemplating profit maximisation, the balance between workstations, exploitation of bottleneck resources and customer satisfaction. The prioritisation of these objectives is obtained through the Fuzzy Analytical Hierarchy Process. This methodology takes into account the uncertainty in the evaluation of the experts. From its application, a single crisp vector is obtained, which is transformed into the weights of the goals. The result is a product mix that satisfies the goals, corresponding to the experts' opinions.

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“…The relevant criteria and their relative importance are elicited from the decision makers via pairwise comparisons of the AHP technique. The standard processes of the AHP are also utilized here, such as inconsistency checking and resolution [40].…”

Section: Framework Of the Performance Evaluation Of The Semiconductormentioning

confidence: 99%

Sustainability Assessment of Taiwan’s Semiconductor Industry: A New Hybrid Model Using Combined Analytic Hierarchy Process and Two-Stage Additive Network Data Envelopment Analysis

Lin

2018

Sustainability

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Sustainable development has become the biggest concern of the semiconductor industry, which plays a vital role not only in technology breakthroughs, but also by serving as an enabler for sustainability. This study combines Analytic Hierarchy Process (AHP) and additive network Data Envelopment Analysis (DEA) to measure the sustainable performance which are derived from business growth stage and energy utilization stage through the parametric linear program. Meanwhile, this method makes up the disadvantage of the weighting technique used additive decomposition approach to the two-stage network and avoids biasing toward the second stage. The findings demonstrate that Taiwan’s semiconductor manufacturing sector has exhibited a steady increase in its overall trend of sustainability performance. According to the stage-level performance results, the performance of business growth is better than energy utilization. However, the changing trend of overall sustainability performance is through a steady increase from environmental efficiency and not from economic efficiency.

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A mixed-model multi-objective analysis of strategic supply chain decision support in the Thai silk industry

Cited by 12 publications

References 37 publications

An integrated framework for supplier selection and performance evaluation for apparel retail industry

An integrated framework for supplier selection and performance evaluation for apparel retail industry

Use of goal programing and the fuzzy analytical hierarchy process to obtain the product mix

Sustainability Assessment of Taiwan’s Semiconductor Industry: A New Hybrid Model Using Combined Analytic Hierarchy Process and Two-Stage Additive Network Data Envelopment Analysis

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