A joint supplier selection and order allocation model with disruption risks in centralized supply chain

Esmaeili-Najafabadi, Elham; Nezhad, Mohammad Saber Fallah; Pourmohammadi, Hamid; Honarvar, Mahboobeh; Vahdatzad, Mohammad Ali

doi:10.1016/j.cie.2018.11.017

Cited by 58 publications

(23 citation statements)

References 61 publications

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“… Manthou et al (2004); Im et al (2019) ; Al-Doori (2019) ; Adem et al (2018) ; Namdar et al (2018) ; Zhu et al (2017) ; Aggarwal et al (2020) ; Birkel & Hartmann (2020) ; Rashad & Nedelko (2020) ; Scholten & Schilder (2015) ; Gabler et al (2017) ; Chen et al (2017) ; Silvestre et al (2018) ; Nassar et al (2019) . I11 Supply chain coordination SC coordination describes collective efforts to reach goals, which is “the act of managing dependencies between entities and the joint effort of entities working together towards mutually defined goals.” Li et al (2018) ; Zhao et al (2020) ; Hosseini-Motlagh et al (2020) ; Heydari et al (2019) ; Hosseini-Motlagh et al (2019) ; Oliveira & Handfield (2019) ; Esmaeili-Najafabadi et al (2019) ; Liu et al (2017) ; Wang et al (2017) ; Li et al (2017) ; Danusantoso & Moses (2016) ; Xiao & Chen (2016) ; Ali & Nakade (2016) ; Zheng et al (2015) ; Mortazavi et al (2015) ; Watanabe & Kusukawa (2015) ; Chen et al (2020) ; Chakraborty et al (2020) ; Zhao et al (2020) . I12 Supply chain disruptions SC disruptions are undesired and unexpected events; examples include natural disasters, industrial accidents, technological shifts, and political events Braunscheidel and Suresh (2009) ; Kumaran et al (2020) ; Parast (2020) ; Paul & Chowdhury (2020) ; Messina et al (2020) ; Nguyen et al (2020) ...…”

Section: Resultsmentioning

confidence: 99%

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

177

119

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Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.

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Section: Resultsmentioning

confidence: 99%

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

177

119

View full text Add to dashboard Cite

show abstract

“…With a similar objective [13] investigates the planning of inventory allocation in a supplier-manufacturer network, in order to determine the selection of the supplier, the amount of purchase, the level of inventory and the amount of allocation of each material in each period to minimize the total costs of the supplier-manufacturer network. Other works also focus on the selection of suppliers and the impact of the inventory allocation for this purpose [14;15].…”

Section: Literature Reviewmentioning

confidence: 99%

Methodology and model-based DSS to managing the reallocation of inventory to orders in LHP situations. Application to the ceramics sector

2019

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Lack of homogeneity in the product (LHP) is a problem when customers require homogeneous units of a single product. In such cases, the optimal allocation of inventory to orders becomes much more complex. Furthermore, in an MTS environment, an optimal initial allocation may become less than ideal over time, due to different circumstances. This problem occurs in the ceramics sector, where the final product varies in tone and calibre. This paper proposes a methodology for the reallocation of inventory to orders in LHP situation (MERIO-LHP) and a model-based decision-support system (DSS) to support the methodology, which enables an optimal reallocation of inventory to order lines to be carried out in real businesses environments in which LHP is inherent. The proposed methodology and model-based DSS were validated by applying it to a real case at a ceramics company. The analysis of the results indicates that considerable improvements can be obtained with regard to the quantity of orders fulfilled and sales turnover.

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“…Selecting qualified sustainable suppliers and determining optimal order quantities play a pivotal role in improving the performance of a sustainable supply chain, as companies are held responsible not only for their own actions, but for the adverse environmental impacts of their partners [8,9]. Recently, many researchers have tried to integrate sustainable supplier selection with order allocation to help enterprises enhance their sustainable performance [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

A New Integrated Multi-Criteria Decision Making and Multi-Objective Programming Model for Sustainable Supplier Selection and Order Allocation

You

Zhang

et al. 2020

Symmetry

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With the increasing pressure from global competition, manufacturers have realized that sustainable production is significant in supply chain management. Sustainable supplier selection and order allocation (SSS&OA) play a distinct and critical role for organizations to achieve sustainable development and build competitive advantage. In this paper, we aim to develop a novel SSS&OA model for selecting the most suitable sustainable suppliers and determining the optimal order sizes among them. First, double hierarchy hesitant linguistic term sets (DHHLTSs) are adopted to deal with uncertainty in evaluating the sustainable performance of alternative suppliers. Then, an extended decision field theory is proposed to choose efficient sustainable suppliers dynamically. Considering quantity discount, a multi-objective linear programming (MOLP) model is established to allocate reasonable order quantities among the selected suppliers. Finally, the applicability and effectiveness of the developed model are illustrated through its application in the electronic industry and through a comparative analysis with other methods.

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A joint supplier selection and order allocation model with disruption risks in centralized supply chain

Cited by 58 publications

References 61 publications

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Methodology and model-based DSS to managing the reallocation of inventory to orders in LHP situations. Application to the ceramics sector

A New Integrated Multi-Criteria Decision Making and Multi-Objective Programming Model for Sustainable Supplier Selection and Order Allocation

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