Supplier selection and pre-positioning strategy in humanitarian relief

Hu, Shaolong; Dong, Zhijie

doi:10.1016/j.omega.2018.10.011

Cited by 95 publications

(39 citation statements)

References 30 publications

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“…Retail firms should be provided with access to advanced technological facilities that eventually results in productivity and improved sustainable performance. 41 Our research complements published literature 42 that reliability is essential for suppliers to improve sustainable performance and increase competitive advantage. In addition, Orji and Wei 12 also support the huge influence of environmental competencies during the sustainable supplier selection process.…”

Section: Resultsmentioning

confidence: 63%

“…Product availability can contribute to increased profitability by ensuring that customer preferences and requirements are satisfied. 41 Reliability is the ability of an industry to manage risk and uncertainty due to increased lead time, production disruption caused by strikes and natural disasters, and instability of procurement due to poor quality. 42 Atsalakis and Valavanis 43 demonstrated the application of TOPSIS in compound linguistic ordinal scale.…”

Section: Literature Reviewmentioning

confidence: 99%

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Sustainable supplier selection in the retail industry: A TOPSIS- and ANFIS-based evaluating methodology

Okwu

Tartibu

2020

International Journal of Engineering Business Management

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In this study, a hybrid model based on ANFIS (Adaptive Neuro-Fuzzy Inference Systems), a predictive intelligent-based technique, and TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) was implemented for sustainable supplier selection. Selection of supplier is a crucial task for companies to achieve the objectives of inbound and outbound supply chain system. This selection process may be complex due to the inclusion of diverse subjective and objective factors. There is, therefore, the need for a reliable methodology to provide higher accuracy in predictions of anticipated supplier performance, and this article makes contributions in that direction. The model was applied in the retail end of a fast-moving consumer goods (FMCG) industry to select the best possible suppliers using the sustainability criteria of the triple-bottom-line. Available data from the FMCG retail sector was fed into the TOPSIS and ANFIS model to rank the suppliers. Results indicated that the most dominant sustainability factors in the Nigerian FMCG retail sector are advanced technology, cost, reliability, on-time delivery, and environmental competencies. The finding should encourage companies in the retail sector to explore sustainability opportunities in order to improve their competitiveness for selection during bidding processes. The novelty of this study is the application of ANFIS to sustainable supplier selection problem in the context of a developing economy like Nigeria. It should also assist managers in the FMCG retail sector to highlight areas of possible sustainability improvements.

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Section: Resultsmentioning

confidence: 63%

Section: Literature Reviewmentioning

confidence: 99%

Sustainable supplier selection in the retail industry: A TOPSIS- and ANFIS-based evaluating methodology

Okwu

Tartibu

2020

International Journal of Engineering Business Management

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“…Li et al (2018) presented a cooperative maximal covering model where relief items were prioritized. In the studies conducted by Rath et al (2014), Bozorgi-Amiri and Khorsi (2016), Torabi et al (2018), Cotes and Cantillo (2019), and Hu and Dong (2019), a multi-sourcing problem 1 was used to procure relief items. Rath and Gutjahr (2014) formulated the distribution of relief items as a routing problem and also determined the optimal budget for pre-disaster operative costs.…”

Section: Literature Reviewmentioning

confidence: 99%

A Location-Procurement-Distribution Model Combined with Data Envelopment Analysis Model under a Multi-period Environment and Gradual Budget Injection for Humanitarian Relief Supply Chains

Fazli¹

2021

Preprint

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Humanmade or natural catastrophes such as droughts, floods, earthquakes, storms, coups, economic and political crises, wars, and so forth impact various areas of the world annually. Furthermore, the lack of adequate preparations and proper coping against them causes nations to suffer heavy losses and casualties, which are sometimes irrecoverable. Consequently, as an essential activity in crisis management, humanitarian relief logistics has been of particular importance and has taken a good deal of notice at the international level during recent years. Aid facilities location and the storage of necessary commodities before a disaster and the proper distribution of relief commodities among demand points following a disaster are critical logistical strategies to improve performance and reduce latency when responding to a given disaster. In this regard, this study presents a stochastic multi-objective mixed-integer non-linear programming model in a two-level network that includes warehouses and affected areas. The model aims at minimizing total social costs, which include the expense of founding warehouses, the expense of procuring commodities, and deprivation cost, as well as maximizing fulfilled demands and warehouses utility. In this study, several pre-disaster periods, a limited budget for establishing warehouses and procuring relief commodities with their gradual injection into the system, the time value of money, various criteria for evaluating warehouses, the risk of disruption in warehouses and transportation networks, and heterogeneous warehouses are considered. The maximization of warehouses utility is done according to a data envelopment analysis model. Moreover, a multi-objective fuzzy programming model called the weighted max-min model is applied to solve the proposed model. Ultimately, the outcomes of the evaluation and validation of the proposed model show its appropriate and efficient performance.

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“…For natural disasters and similar predictable events, preparedness actions such as pre-positioning of relief items improve the response time for relief operations. Hu and Dong (2019) studied the influence of integration of supplier selection in prepositioning strategy for relief items. The study also considered maintaining close relation between supplier and the relief agencies in addition to cooperation of suppliers.…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

A Humanitarian Logistics-Based Planning for Rescue and Relief Operation After a Devastating Fire Accident

Das

Lashkari

Khan³

2020

OSCM: An Int. Journal

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Supplier selection and pre-positioning strategy in humanitarian relief

Cited by 95 publications

References 30 publications

Sustainable supplier selection in the retail industry: A TOPSIS- and ANFIS-based evaluating methodology

Sustainable supplier selection in the retail industry: A TOPSIS- and ANFIS-based evaluating methodology

A Location-Procurement-Distribution Model Combined with Data Envelopment Analysis Model under a Multi-period Environment and Gradual Budget Injection for Humanitarian Relief Supply Chains

A Humanitarian Logistics-Based Planning for Rescue and Relief Operation After a Devastating Fire Accident

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