Evaluating outsourcing risks in the pharmaceutical supply chain: Case of a multi-criteria combined fuzzy AHP-PROMETHEE approach

Mokrini, Asmae El; Kafa, Nadine; Dafaoui, El Mouloudi; Mhamedi, Abderrahman El; Berrado, Abdelaziz

doi:10.1016/j.ifacol.2016.11.020

Cited by 33 publications

(17 citation statements)

References 25 publications

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“…Moreover, PROMETHEE II does a good job of ranking all risk factors, which facilitates risk comparison and identification of risks requiring special attention. Researchers apply fuzzy PROMETHEE to provide application novelty, for instance, Mokrini applied PROMETHEE combined with fuzzy theory to the risk assessment of pharmaceutical supply chain, providing a broader research idea [34]. Although showing many advantages and wider application, this method is qualitatively expressed and usually depends on opinions and experience of decision-maker and does not provide a method to determine the weight of evaluation criteria, hence, easily to be misunderstood by the vagueness of linguistic terms.…”

Section: Mcda Methodsmentioning

confidence: 99%

Using Fuzzy AHP-PROMETHEE for Market Risk Assessment of New-Build River Cruises on the Yangtze River

Jing

Wang

2021

Sustainability

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Cruise tourism on the Yangtze River Basin has developed rapidly in recent years. However, it is still facing such challenges as homogenization of itinerary and shore attraction arrangement, as well as aging cruise ships and simplification of service facilities, while it is also difficult to satisfy hierarchical and personalized tourist needs. To change such circumstances, new-build river cruise ships are inevitable. Complexity of market supply and demand environment, together with variability of tourist preferences, have increased market uncertainties of new-build cruise products. This study aims to assess market risks of new-build river cruise ships first by identifying risk factors, from the perspective of supply and demand under the actual conditions of the Yangtze River cruise market, then by evaluating potential impacts, caused by risk factors based on multi-criteria decision-making considerations. Fuzzy AHP-PROMETHEE was employed to prioritize the risk factors. The results reveal that among the most significant market risk factors are the following, in sequence: backwardness of support facilities; sudden security crisis; homogenization of cruise products; simplification of tourism route design; and inadequate management of the tourism market. Such findings will provide beneficial insights for strategic and sustainable development of river cruises on the Yangtze River.

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Section: Mcda Methodsmentioning

confidence: 99%

Using Fuzzy AHP-PROMETHEE for Market Risk Assessment of New-Build River Cruises on the Yangtze River

Jing

Wang

2021

Sustainability

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“…Given that the experts’ preferences are uncertain and imprecise, the traditional methods do not completely capture and solve these types of decision problems. Therefore, combined fuzzy-based MCDM methods have been developed to exploit the strength of each technique for outsourcing provider evaluation and selection such as fuzzy DEMATEL and FTOPSIS (Alkhatib et al , 2015), fuzzy AHP and fuzzy PROMETHEE (El Mokrini et al , 2016), BSC and fuzzy AHP (Modak et al , 2017), DEMATEL and fuzzy ANP (Uygun et al , 2015), and intuitionistic fuzzy AHP and SWOT (Tavana et al , 2016).…”

Section: Review Of Analytical Methods For Outsourcing Provider Selectionmentioning

confidence: 99%

An integrated fuzzy SWARA and fuzzy AD approach for outsourcing provider selection

Perçin

2019

JMTM

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Purpose Unlike previous literature, this study offers a novel integrated fuzzy approach to the field of outsourcing decisions. The purpose of this paper is to use design ranges of evaluation criteria that satisfy the functional requirements (FRs) of decision makers to solve the outsourcing provider selection problem. Design/methodology/approach In this study, considering the expected significance of outsourcing evaluation criteria, and the FRs of decision makers expressed in linguistic terms, a robust multi-criteria decision-making (MCDM) tool based on the integrated use of fuzzy Step-wise Weight Assessment Ratio Analysis and weighted fuzzy axiomatic design methods is proposed for use in decision process. Findings The proposed method is applied to a Turkish chemical company. A sensitivity analysis is performed and the outcomes of the proposed integrated framework are compared with those of other MCDM methods such as fuzzy-based Technique for Order Preference by Similarity to Ideal Solution, fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje and fuzzy Multi-Objective Optimization on the basis of Ratio Analysis. This validates the usefulness and practicality of the proposed methodology. Practical implications The main contribution of this study is that it defines specific requirements that will assist company managers in eliminating alternatives that do not satisfy the needs and expectations of their company. Originality/value This paper compares the present study with other studies in the field of manufacturing. Additionally, it provides a well-documented case study, which makes the paper of value to researchers interested in the practical applications of MCDM methods.

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“…Moreover, pharmaceutical firms are forced to change their strategies now and then because of variations in the market economy. Predicting the correct volume is a major challenge because of relentless and fluctuating demand and more risk assessment measures are taken at critical points (El Mokrini et al , 2016). Old logistic methods are least supply chain responsive and get saturated and become incapable of meeting new challenges (El Mokrini et al , 2018).…”

Section: Theoretical and Practical Implicationsmentioning

confidence: 99%

Improving the performance of a Malaysian pharmaceutical warehouse supply chain by integrating value stream mapping and discrete event simulation

Abideen

Mohamad

2020

JM2

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Purpose Lean implementation is vastly incorporated in core manufacturing processes; however, its applicability in the supply chain and service industry is still in its infancy. To acquire performance excellence and thrive in the global competitive market, many firms are adopting newer methodologies. But, there is a stringent need for production simulation systems to analyze supply chains both inbound and outbound. The era of face validation is slowly disappearing. Lean tools and procedures that provide future state assumptions need advanced tools and techniques to measure, quantify, analyze and validate them. The purpose of this study is to enable dynamic quantification and visualization of the future state of a warehouse supply chain value stream map using discrete event simulation (DES) technique. Design/methodology/approach This study aimed to apply an integrated approach of the value stream mapping (VSM) and DES in a Malaysian pharmaceutical production warehouse. The main focus is diverted towards reducing the warehouse supply chain lead time by initially constructing a supply chain value stream map (both present state and future state) and integrating its data in a DES modelling and simulation software to dynamically visualize the changes in future state value stream map. Findings The DES simulation was able to mimic the future state lead time reductions successfully, which assists in better decision-making. Improvements were seen related to total lead time, process time, value and non-value-added percentage. Warehouse performance metrics such as receiving, put away and storage rates were substantially improved along with pallet processing time, worker and forklift throughput usage percentage. Detailed findings are clearly stated at the end of this paper. Research limitations/implications This study is limited to the warehouse environment and further additional process models and functional upgrades in the DES software systems are very much needed to directly visualize and quantify all the possible Lean assumptions such as radio frequency image identification/Andon (Jidoka), 5S, Kanban, Just-In-Time and Heijunka. However, DES has a leading edge in extracting dynamic characteristics out of a static VSM timeline and capture details on discrete events precisely by picturizing facility modification and lead time related to it. Practical implications This paper includes all the fundamental pharmaceutical warehouse supply chain processes and the simulations of the future state VSM in a real-life context by successfully reducing supply chain lead time and allowing managers in inculcating near-optimal decision-making, controlling and coordinating warehouse supply chain activities as a whole. Social implications This integrated approach of DES and VSM can involve managers and top management to support the adoption of anticipated changes. This study also has the potential to engage practitioners, researchers and decision-makers in the warehouse industry. Originality/value This study involves a powerful DES software package that can mimic the real situation as a virtual simulation and all the data and model building are based on a real warehouse scenario in the pharmaceutical industry.

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Evaluating outsourcing risks in the pharmaceutical supply chain: Case of a multi-criteria combined fuzzy AHP-PROMETHEE approach

Cited by 33 publications

References 25 publications

Using Fuzzy AHP-PROMETHEE for Market Risk Assessment of New-Build River Cruises on the Yangtze River

Using Fuzzy AHP-PROMETHEE for Market Risk Assessment of New-Build River Cruises on the Yangtze River

An integrated fuzzy SWARA and fuzzy AD approach for outsourcing provider selection

Improving the performance of a Malaysian pharmaceutical warehouse supply chain by integrating value stream mapping and discrete event simulation

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