Resilient Supply Chain Network Planning Method with Two-Stage Stochastic Programming: Extension to Multiple Product Supply Chains

被引：0

作者：

Kaihara, Toshiya ^{[1
]}

Kobayashi, Hibiki ^{[1
]}

Kokuryo, Daisuke ^{[1
]}

Hara, Masashi ^{[2
]}

Miyachi, Yuto ^{[2
]}

Yamao, Dickson Hideki ^{[2
]}

Sariddichainunta, Puchit ^{[2
]}

机构：

[1] Kobe Univ, Grad Sch Syst Informat, 1-1 Rokkodai Cho, Kobe, Hyogo 6578501, Japan

[2] Lion Corp, 1-3-28 Kuramae, Tokyo 1118644, Japan

来源：

ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS-PRODUCTION MANAGEMENT SYSTEMS FOR VOLATILE, UNCERTAIN, COMPLEX, AND AMBIGUOUS ENVIRONMENTS, PT II, APMS 2024 | 2024年 / 729卷

关键词：

Resilient supply chain network; Stochastic programming; Inventory control; Material supplier selection;

D O I：

10.1007/978-3-031-65894-5_9

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In supply chain management, risk management is crucial to ensure a stable product supply while considering economic efficiency. It is essential to design resilient supply chains that can maintain production capacity by preparing for and responding to predictable risks. Our group has proposed strategic planning methodologies for the selection of appropriate material suppliers and the optimization of inventory levels across the supply chain, including suppliers, manufacturers, and wholesalers, with considering potential risks. We have introduced a planning method for resilient supply chain networks using two-stage stochastic programming. This paper extends the proposed method to accommodate supply chains managing multiple products, aiming for more realistic conditions. The effectiveness of the extended method is assessed through computational experiments.

引用

页码：116 / 131

页数：16

共 16 条

[1]

[Anonymous], 2023, The politics of children's rights and representation, P155, DOI [10.1007/JHEP07, DOI 10.1007/978-3-031-04480-9, 10.1007/978-3-031-33990-5]

[2] Supply chain risk assessment in disruptive times: opportunities and challenges [J].

Duong, An Thi Binh ;

Hoang, Thu-Hang ;

Nguyen, Tram Thi Bich ;

Akbari, Mohammadreza ;

Hoang, Thinh Gia ;

Truong, Huy Quang .

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2023, 36 (05) :1372-1401

[3] Integrated strategic and tactical supply chain planning with price-sensitive demands [J].

Fattahi, M. ;

Mahootchi, M. ;

Husseini, S. M. Moattar .

ANNALS OF OPERATIONS RESEARCH, 2016, 242 (02) :423-456

[4] Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic [J].

Golan M.S. ;

Jernegan L.H. ;

Linkov I. .

Environment Systems and Decisions, 2020, 40 (2) :222-243

[5] Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain [J].

Govindan, Kannan ;

Fattahi, Mohammad .

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2017, 183 :680-699

[6]

ILOG CPLEX-IBM, About us

[7] Two-Stage Stochastic Program for Supply Chain Network Design under Facility Disruptions [J].

Kungwalsong, Kanokporn ;

Cheng, Chen-Yang ;

Yuangyai, Chumpol ;

Janjarassuk, Udom .

SUSTAINABILITY, 2021, 13 (05) :1-19

[8]

meti, Report on the International Economic Survey Project for the Integrated Domestic and International Economic Growth Strategy (Survey for Strengthening Supply Chains in Asia at Large)

[9]

Ohmori S., 2015, J. Japan Ind. Manag. Assoc., V66, P12

[10] On Latin hypercube sampling for structural reliability analysis [J].

Olsson, A ;

Sandberg, G ;

Dahlblom, O .

STRUCTURAL SAFETY, 2003, 25 (01) :47-68

← 1 2 →