Meeting needs: value chain collaboration in stabilisation and reconstruction operations

Rietjens, Sebastiaan; Goedee, John; Sommeren, Stijn Van; Soeters, Joseph

doi:10.1108/jhlscm-10-2012-0029

Cited by 8 publications

(4 citation statements)

References 16 publications

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“…Ref. [ 16 ] developed a theoretical framework on value chains and outlined a value chain process model. To address the multi-cycle and multi-stage problem, ref.…”

Section: Related Workmentioning

confidence: 99%

An Optimization Method of Production-Distribution in Multi-Value-Chain

Wang

Zhang

Ding

et al. 2023

Sensors

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Value chain collaboration management is an effective means for enterprises to reduce costs and increase efficiency to enhance competitiveness. Vertical and horizontal collaboration have received much attention, but the current collaboration model combining the two is weak in terms of task assignment and node collaboration constraints in the whole production-distribution process. Therefore, in the enterprise dynamic alliance, this paper models the MVC (multi- value-chain) collaboration process for the optimization needs of the MVC collaboration network in production-distribution and other aspects. Then a MVC collaboration network optimization model is constructed with the lowest total production-distribution cost as the optimization objective and with the delivery cycle and task quantity as the constraints. For the high-dimensional characteristics of the decision space in the multi-task, multi-production end, multi-distribution end, and multi-level inventory production-distribution scenario, a genetic algorithm is used to solve the MVC collaboration network optimization model and solve the problem of difficult collaboration of MVC collaboration network nodes by adjusting the constraints among genes. In view of the multi-level characteristics of the production-distribution scenario, two chromosome coding methods are proposed: staged coding and integrated coding. Moreover, an algorithm ERGA (enhanced roulette genetic algorithm) is proposed with enhanced elite retention based on a SGA (simple genetic algorithm). The comparative experiment results of SGA, SEGA (strengthen elitist genetic algorithm), ERGA, and the analysis of the population evolution process show that ERGA is superior to SGA and SEGA in terms of time cost and optimization results through the reasonable combination of coding methods and selection operators. Furthermore, ERGA has higher generality and can be adapted to solve MVC collaboration network optimization models in different production-distribution environments.

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“…Ref. [ 16 ] developed a theoretical framework on value chains and outlined a value chain process model. To address the multi-cycle and multi-stage problem, ref.…”

Section: Related Workmentioning

confidence: 99%

An Optimization Method of Production-Distribution in Multi-Value-Chain

Wang

Zhang

Ding

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Many of the empirical studies have been conducted in crisis areas (Heaslip, Sharif, & Althonayan, 2012) or in (other) developing or emerging countries (Maghsoudi & Pazirandeh, 2016;Noori & Weber, 2016). For example, Rietjens, Goedee, Van Sommeren, and Soeters (2014) study supply chain collaboration in the context of Dutch reconstruction efforts in Afghanistan, and Dube, Van der Vaart, Teunter, and Van Wassenhove (2016) examine fragile host country governments' stances toward disaster assistance. Studies conducted in Western contexts center heavily around a limited number of European countries (Leiras et al, 2014;Nurmala et al, 2017).…”

Section: Interorganizational Interaction In Disaster Response Contextsmentioning

confidence: 99%

Interorganizational Interaction in Disaster Response Networks: A Government Perspective

Quarshie

Leuschner

2020

J Supply Chain Manag

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Governments play important roles as focal organizations in many interorganizational networks. However, the government perspective has largely been overlooked in the literature on supply networks, including research on humanitarian operations and logistics. So far, little attention has been devoted to how government agencies and other actors interact within complex networks. In this study, we use a qualitative research approach to study interorganizational interaction in the context of a major U.S. disaster: Hurricane Sandy.Specifically, we investigate the relatively successful Sandy response effort conducted by the New Jersey state government in interaction with other humanitarian actors. We find that the government took three main roles in interacting with other actors within the disaster response network: organizer, facilitator, and supply network member. Moreover, we develop a grounded model that provides a theoretical explanation of the interaction process and highlights the practices used by the government during the response stage. In addition to contributing to the humanitarian research domain, our study advances the emerging discourse on networks whose focal actors are not for-profit firms.

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“…Another interesting result is the almost non-existent case studies of the recovery phase. Rietjens et al's (2014) study of reconstruction and Noori and Weber's (2016) study on rehabilitation are the only two identified (2.9 percent). Not surprisingly, the majority of case studies are on…”

Section: Disaster Management Phasementioning

confidence: 99%

Case studies in humanitarian logistics research

Vega

2018

JHLSCM

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Purpose Considered a strong method for exploratory investigations, case study research has become part of the mainstream approach, particularly in the field of humanitarian logistics (HL) and supply chain management. Nevertheless, similar to other logistics and SCM-related fields, rigor is not at its best. The purpose of this paper is to propose a framework for crafting case study research in HL, based on an analysis of published case study-based research. Design/methodology/approach The study classifies and compares the use of case studies in HL research, based on criteria developed from the methodology literature including purpose, type and volume of data, and type of analysis. Findings While case studies become more frequent, the results point out a lack of rigor, particularly regarding chain of evidence and the use of frameworks for case study rationale and analysis. Research limitations/implications The study proposes a framework for case study design, based on four “check questions” that can help researchers to go through the process of crafting a case study. Practical implications The study provides practitioners with more understanding of case studies in HL research, which they can use when calling for or evaluating such studies in their organizations. Originality/value This paper offers an initial framework for conducting case studies in HL.

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Meeting needs: value chain collaboration in stabilisation and reconstruction operations

Cited by 8 publications

References 16 publications

An Optimization Method of Production-Distribution in Multi-Value-Chain

An Optimization Method of Production-Distribution in Multi-Value-Chain

Interorganizational Interaction in Disaster Response Networks: A Government Perspective

Case studies in humanitarian logistics research

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