Designing a collaborative supply-chain plan using the analytic hierarchy process and genetic algorithm with cycle-time estimation

H., Z.; Chiang, Tzu-An

doi:10.1080/00207543.2011.598884

Cited by 20 publications

(11 citation statements)

References 45 publications

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“…Luo et al (2011) established an optimisation model integrating the component selection problem for product family design with the supplier selection problem. Che and Chiang (2012) used AHP with rough set theory to establish a supplier purchasing value rating system and constructed a multi-objective optimisation model for supplier selection and production-distribution planning. Che and Chiang (2012) used AHP with rough set theory to establish a supplier purchasing value rating system and constructed a multi-objective optimisation model for supplier selection and production-distribution planning.…”

Section: Metaheuristic Methods Based Integrated Approachesmentioning

confidence: 99%

Taxonomy and review of non-deterministic analytical methods for supplier selection

Karsak

Dursun

2015

International Journal of Computer Integrated Manufacturing

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Supplier selection is considered to be one of the most critical activities of purchasing management in a supply chain. Selecting the right suppliers significantly reduces the purchasing cost and improves corporate competitiveness. Diverse methods have been developed to date, which address the needs of the supplier selection process. This article presents a review of non-deterministic analytical methods reported in the literature for supporting the supplier selection decision. The review is based on an extensive search in the academic literature from 2001 to 2013. A taxonomy of the supplier selection methods is presented by classifying the published supplier selection studies into two major categories as stochastic methods and fuzzy methods. These methods are further divided into individual approaches and integrated approaches. The objective of this research is threefold. First, it classifies the existing supplier selection literature according to the methods employed and determines the most prevalently used approaches, and also highlights main advantages and shortcomings of these approaches. Second, recent trends in supplier evaluation and selection methodologies are examined. Finally, this study identifies the most widely used decision criteria for supplier selection.

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Section: Metaheuristic Methods Based Integrated Approachesmentioning

confidence: 99%

Taxonomy and review of non-deterministic analytical methods for supplier selection

Karsak

Dursun

2015

International Journal of Computer Integrated Manufacturing

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“…Ten articles applied the integrated AHP-multiple approaches without considering the fuzzy set theory. Among these ten articles, the DEA was most commonly used (Zhou and Chen, 2010;Zhang et al, 2012;Kengpol et al, 2014;Kengpol and Tuammee, 2016), followed by mathematical programming approaches (Meza et al, 2009;Che and Chiang, 2012;Falsini et al, 2012;Kengpol et al, 2014), QFD (Partovi, 2007;Zhou and Chen, 2010;Chang, 2012), quantitative risk assessment (QRA) (Kengpol et al, 2014;Kengpol et al, 2016), activity-based costing (ABC) (Zhang et al, 2012), analytic network process (ANP) (Partovi, 2007), entropy (Freeman and Chen, 2015), GA (Che and Chiang, 2012), GRA (Chang, 2012), K-means algorithm (Meza et al, 2009), rough sets theory (RST) (Che and Chiang, 2012), and TOPSIS (Freeman and Chen, 2015).…”

Section: Integrated Ahp and Multiple Approachesmentioning

confidence: 99%

The state-of-the-art integrations and applications of the analytic hierarchy process

2018

European Journal of Operational Research

366

151

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Because of its great flexibility and wide applicability, integrated analytic hierarchy process (AHP) approaches have been studied extensively for the last 20 years. This paper, as a follow-up study to Ho (2008), reviews the literature on the integrated AHP approaches and applications published between 2007 and 2016 and compares those studies with papers published during the previous decade, i.e., 1997-2006. Based on the 88 journal articles, five questions can be answered: (1) which type of integrated AHP approaches was paid most attention to? (2) Which application areas were integrated AHP approaches primarily applied to? (3) Which specific problems were integrated AHP approaches most commonly applied to? (4) What is the trend in publications regarding integrated AHP approaches? and (5) Which international journals were integrated AHP approaches most widely published in? Finally, some new applications of new AHP integrations are proposed to assist scholars in filling the literature research gaps.

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“…The new GAHPO method is adapted for group decisions with many stakeholders through assigning different weights to different decision-makers of the group, hence it is suitable for outsourcee selection decisions where more than one decision maker is usually involved (e.g. quality manager, supply chain manager , finance manager) (Ishizaka and Labib 2011).Using another AHP process, Che and Chiang (2012) applied an integrated approach of genetic algorithm and AHP to construct a collaborative supplier selection model optimising cycle time estimation procedure with production and distribution plans.…”

Section: Outsourcee Selection Modelsmentioning

confidence: 99%

“…A plethora of methods have been used. For example, outsourcing studies have developed frameworks for outsourcee selection applying traditional analytic hierarchy process (AHP) approach (Emrouznejad and Marra 2017), cost benefit AHPSort (Ishizaka and Lopez 2018), fuzzy set theory (Ordoobadi 2009, Kaur, Singh, andMajumdar 2018), group analytic hierarchy process ordering (GAHPO) (Ishizaka and Labib 2011), an integrated combination of both AHP and fuzzy set theory Hung 2010, Che andChiang 2012), a stochastic mixed integer programming approach (Dupont et al 2018),a lean thinking outsourcee evaluation approach (Aamer 2018), and clustering procedures based on artificial neural network (ANN) (Medhi and Mondal 2016). Other studies have expanded beyond outsourcees' attributes and considered factors in the external environments including holistic cost of offshore manufacturing outsourcing to developing countries (Pawar and Rogers 2013), the state of "rule of law" in developing countries (Wiengarten, Pagell, and Fynes 2013) and the impact of national culture on governance effectiveness in outsourcing location decisions Angst 2015).…”

Section: Introductionmentioning

confidence: 99%

Contextualisation of the complexity in the selection of developing country outsourcees by developed country outsourcers

Pawar

Huq

Khraishi

et al. 2018

International Journal of Production Research

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Outsourcing research has recognised that selecting the right offshore supplier (outsourcee) in low-cost distant developing countries is complex, but central to outsourcing success. More specifically, the combination of outsourcee contextual internal factors (e.g. capabilities) with outsourced-to country contextual external factors (e.g. political, legal, economic, socio-cultural) as two fundamental and interconnected decisions firms make when outsourcing remains an underexplored research gap. Therefore, through a rigorous three-tier qualitative approach we, firstly, develop a contextual Environmental Separation Index (ESI) decision tool to help outsourcing firms in making more informed decisions when selecting outsourcees and outsourcing locations. Secondly, we operationalise the ESI as intuitive and easy to use decision tool, yet with a provision to deliver a truly context proof outsourcee selection decision. Thirdly, we adopt a complexity theory lens to explain that narrowing the contextual outsourcer-outsourcee gap facilitates a mind-set shift in outsourcing relationships from hierarchies to networks and from controlling to empowering developing country outsourcees. We show from a complexity theory perspective how contextual separation gaps between developed country outsourcers and developing country outsourcees can be an effective way to grasp the evolutionary path of outsourcing relationships.

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Designing a collaborative supply-chain plan using the analytic hierarchy process and genetic algorithm with cycle-time estimation

Cited by 20 publications

References 45 publications

Taxonomy and review of non-deterministic analytical methods for supplier selection

Taxonomy and review of non-deterministic analytical methods for supplier selection

The state-of-the-art integrations and applications of the analytic hierarchy process

Contextualisation of the complexity in the selection of developing country outsourcees by developed country outsourcers

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