Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: A computational study

Cortinhal, Maria João; Lopes, Maria João; Melo, Teresa

doi:10.1016/j.cie.2015.08.019

Cited by 38 publications

(25 citation statements)

References 24 publications

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“…They considered the CO2 emission and the unit price as important factors for selecting suppliers. Cortinhal et al [29] developed multi period, multi-product MILP model for CLSCN to minimize the total cost. They executed a computational study on a large size of problem and consider the supplier selection according to unit price of raw materials.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Closed-loop Supply Chain Configuration Model and Supplier Selection based on Offered Discount Policies

Rad

Nahavandi

Hosseinzadeh

et al. 2018

IJE

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In this paper, a mathematical programming model is presented for integrated problem of closed loop supply chain network design and supplier selection. The suppliers propose discount policy based on purchase amount and loyalty of buyers which are both taken from the elements of Recency, Frequency and Monetary (RFM) technique. In contrast to the existing closed-loop supply chain network design models which select suppliers based on unit price and quantity discount, the proposed model considers loyalty discount policy along with unit price and quantity discount policy as elements of RFM technique in selecting suppliers. The main objective of this paper which is formulated by a mixedinteger programming model is to minimize the total cost through determining location of facilities, production plan, inventory levels, flows between facilities, transportation type, purchasing amount and selecting best supplier based on a beneficial relationship. Sensitivity analysis is carried out to validate the model and examine the effects of considering discount according to purchase amount and loyalty on the supply chains costs and decisions. Computational results show the effectiveness and usefulness of the model.

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Section: Literature Reviewmentioning

confidence: 99%

An Integrated Closed-loop Supply Chain Configuration Model and Supplier Selection based on Offered Discount Policies

Rad

Nahavandi

Hosseinzadeh

et al. 2018

IJE

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“…Although there are works in the literature analyzing a supply chain structure of four echelons with location decisions (Altiparmak et al, 2006;Javanshir et al, 2012;Cortinhal et al, 2015), these do not include inventory policy or costs. On the other side, there are studies analyzing problems with this configuration that include inventory costs (Daniel and Rajendran, 2005;Radhakrishnan and Natarajan, 2011) but that do not consider location decisions.…”

Section: Literature Reviewmentioning

confidence: 99%

Supply chain network design with efficiency, location, and inventory policy using a multiobjective evolutionary algorithm

Loaiza

Olivares-Benítez

Miranda-Gonzalez

et al. 2016

Int Trans Operational Res

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This study presents a metaheuristic based on a multiobjective evolutionary algorithm to solve a biobjective mixed-integer nonlinear programming model for supply chain design with location-inventory decisions and supplier selection. The supply chain has four echelons with suppliers, plants, distribution centers, and retailers. The decision variables are the opening of plants and distribution centers and the flow of materials between the different facilities, considering a continuous review inventory policy. The conflicting objectives are to minimize total costs on the entire chain, and to maximize a combined value of overall equipment effectiveness from suppliers. Small-and medium-sized scenarios are solved and compared with Pareto fronts obtained with commercial optimization software applying the epsilon-constraint method. The numerical results show the effectiveness of the proposed metaheuristic. The main contributions of this work are a new practical problem that has not been analyzed before, and the development of the evolutionary algorithm.

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“…In order to find out the research area of each cluster we consider top publications with high value PageRank. The topical reference as publication classification is showing in Table 10, the senior scholars in first cluster included (Cortinhal, Lopes & Melo, 2015), (Pishvaee & Torabi, 2010) and (Santoso, Ahmed, Goetschalckx & Shapiro, 2005). The labeling for this cluster as major research filed is "Network design, Mathematical modeling, and Optimization approach".…”

Section: Publication Classification With Clustering Methodsmentioning

confidence: 99%

Optimization in supply chain management, the current state and future directions: A systematic review and bibliometric analysis

Movahedipour

Yang

Zeng

et al. 2016

JIEM

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Abstract:Purpose: The purpose of this paper is finding the current state of research and identifies high-potential area for future investigation in optimization in supply chain management.Design/methodology/approach: In this paper we present Bibliometric and Network analysis to examine current state research on optimization in supply chain management to identify established and emergent research field for future investigation. The systematic research review which we used in our study have not grasp or assess by other researchers on this topic. Firstly, based on our methodology Bibliometric analysis began by identifying 1610 publications raised from scientific journals, included literatures from 1994 to March of 2016. Secondly, we applied PageRank algorithm in our data for citation analysis to indicate the significance of a publication.Thirdly, the topological decision variables analysis is done based on Louvain method for network data clustering, for this proposes we used the rigorous tools.Finding: Based on our Network analysis result, the optimization in supply chain management research can be divided into four clusters/modules that introduced fundamental skill, knowledge, theory, application and method.-933-Journal of Industrial Engineering and Management -http://dx.doi. org/10.3926/jiem.2035 Research limitations/implications: We presented some limitation in our research in some fields which could allow new researchers and practitioners conduct the future research to grow up in different dimensions. Practical implications:Practitioners or policy maker usually are not familiar with these type researches so this is why mush of these survey remain in theatrical and conceptual. Future investigation needs to play in practical application domain instead stop merely in opinion.Originality/value: Based on our research, the researchers have more attention to work in conceptual analysis due to other fields but we believe that in facility location problem there many remarkable rooms still exist for future research to development. We also contributed more details in the papers.

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Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: A computational study

Cited by 38 publications

References 24 publications

An Integrated Closed-loop Supply Chain Configuration Model and Supplier Selection based on Offered Discount Policies

An Integrated Closed-loop Supply Chain Configuration Model and Supplier Selection based on Offered Discount Policies

Supply chain network design with efficiency, location, and inventory policy using a multiobjective evolutionary algorithm

Optimization in supply chain management, the current state and future directions: A systematic review and bibliometric analysis

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