Risk-cost optimization for procurement planning in multi-tier supply chain by Pareto Local Search with relaxed acceptance criterion

Mori, Masakatsu; Kobayashi, Ryoji; Samejima, Masaki; Komoda, Norihisa

doi:10.1016/j.ejor.2017.01.028

Cited by 17 publications

(7 citation statements)

References 23 publications

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“…Generally, these studies rely on mathematical and forecasting modelling as well as simulations to evaluate how multi-tier supply chains will perform under certain conditions. For instance, these studies investigate sustainability issues such as agent-based reverse pricing , value of information exchange (Viswanathan, Widiarta, and Piplani 2007), scheduling systems (Holweg et al 2005), inventory systems modelling (Ekanayake, Joshi, and Thekdi 2016), riskcost optimisation for procurement planning (Mori et al 2017), information sharing (Zhang and Zhang 2007). While these studies are largely conceptual, their findings provide interesting insights into the nuances of multi-tier supply chain management.…”

Section: Multi-tier Supply Chain Sustainability Managementmentioning

confidence: 99%

Transdisciplinary perspective on sustainable multi-tier supply chains: a triple bottom line inspired framework and future research directions

Senyo

Osabutey

2021

International Journal of Production Research

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Global sourcing and increased interdependencies between organisations have created more complex multi-tier supply chains. While these supply chains have been instrumental in keeping the world moving, they equally pose sustainability issues. In the extant literature, there is a growing number of studies on sustainable multi-tier supply chains. However, there has been limited effort to take stock of existing research to set an agenda for future studies. To address this gap, this study reviews 64 articles through the lens of the triple bottom line theory. Based on the findings, the study develops a framework for sustainable multi-tier supply chains and provides direction for future research.

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Section: Multi-tier Supply Chain Sustainability Managementmentioning

confidence: 99%

Transdisciplinary perspective on sustainable multi-tier supply chains: a triple bottom line inspired framework and future research directions

Senyo

Osabutey

2021

International Journal of Production Research

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“…This is even more the case when AI computer solutions for picking (identifying items automatically) are combined with vehicle communication or quality checks of product items. • First, the overall integration and optimization of increasingly global supply chains (Azadeh et al 2017;Mori et al 2017;Chae 2009). • Second the struggle for agile and flexible as well as resilient supply chains in order to mitigate risks and volatility of global market impacts and increasingly demanding customers, e.g., with e-commerce (Chan et al 2017;Han et al 2017;Manders et al 2016).…”

Section: Ai Intralogistics Applications (Basic)mentioning

confidence: 99%

Operations, Logistics and Supply Chain Management

Zijm¹,

Klumpp²,

Regattieri

et al. 2019

Lecture Notes in Logistics

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“…Alike the single objective local search, PLS when used as a standalone algorithm started with an initial archive of a low quality is not very effective, however, it is an important component of a number of the state-of-the-art hybrid algorithms e.g. for the bi-objective knapsack (Lust & Teghem, 2012), the bi-objective traveling salesperson problem (TSP) (Lust & Teghem, 2010;Lust & Jaszkiewicz, 2010;Liangjun et al, 2014;Jaszkiewicz & Lust, 2017;Cornu et al, 2017), various bi-objective permutation flowshop problems (Dubois-Lacoste et al, 2011), the bi-objective set covering problem (Lust & Tuyttens, 2014), and the risk-cost optimization for procurement planning (Mori et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Many-Objective Pareto Local Search

Jaszkiewicz

2018

European Journal of Operational Research

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We propose a new Pareto Local Search Algorithm for the many-objective combinatorial optimization. Pareto Local Search proved to be a very effective tool in the case of the bi-objective combinatorial optimization and it was used in a number of the state-of-the-art algorithms for problems of this kind. On the other hand, the standard Pareto Local Search algorithm becomes very inefficient for problems with more than two objectives. We build an effective Many-Objective Pareto Local Search algorithm using three new mechanisms: the efficient update of large Pareto archives with ND-Tree data structure, a new mechanism for the selection of the promising solutions for the neighborhood exploration, and a partial exploration of the neighborhoods. We apply the proposed algorithm to the instances of two different problems, i.e. the traveling salesperson problem and the traveling salesperson problem with profits with up to 5 objectives showing high effectiveness of the proposed algorithm.

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Risk-cost optimization for procurement planning in multi-tier supply chain by Pareto Local Search with relaxed acceptance criterion

Cited by 17 publications

References 23 publications

Transdisciplinary perspective on sustainable multi-tier supply chains: a triple bottom line inspired framework and future research directions

Transdisciplinary perspective on sustainable multi-tier supply chains: a triple bottom line inspired framework and future research directions

Operations, Logistics and Supply Chain Management

Many-Objective Pareto Local Search

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