A framework and algorithm for fair demand and capacity sharing in collaborative networks

Yılmaz, İbrahim; Yoon, Sang Won; Seok, Hyesung

doi:10.1016/j.ijpe.2017.06.027

Cited by 12 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Frequently mentioned more general attributes include flexibility, redundancy, collaboration, visibility, and agility ( Hohenstein et al, 2015 ; Johnson et al, 2013 ). More specific resilience strategies recognized in the literature include backup capacity and inventory, increased security, economical supply incentives, postponement, supplier relationship building, demand forecasting, as well as the development of IT infrastructure and information sharing ( Chopra and Sodhi, 2004 ; Ivanov and Rozhkov, 2017 ; Melnyk et al, 2014 ; Tang, 2006a ; Tomlin, 2006 ; Yilmaz et al, 2017 ).…”

Section: Supply Chain Resilience and Blockchain Technology In The Conmentioning

confidence: 99%

“…Existing literature on resource sharing has indicated improved performance through collaboration, although SC resilience has not been addressed so far. Scholars proposed distributed coordination mechanisms to allocate demands and share capacity but focused on examining performance measures for individual companies only ( Moghaddam and Nof, 2016 ; Seok and Nof, 2014 ; Tan, 2006 ; Yilmaz et al, 2017 ). Industrial applications of capacity sharing, on the other hand, used centralized platforms or databases vulnerable to failures, hacking attacks, and opportunism ( i.Revitalise, 2020 ; Van Arnum, 2012 ).…”

Section: Theoretical Analysis Of the Impact Of Blockchain Technology mentioning

confidence: 99%

See 1 more Smart Citation

Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study

Lohmer

Bugert

Lasch

2020

International Journal of Production Economics

286

131

View full text Add to dashboard Cite

Resilience enables supply chains to reduce their proneness to disruptions and recover faster. Many existing strategies to strengthen the resilience of supply chains are facilitated by the use of digital technology. Blockchain, as one of the promising innovative technologies, enables a transparent, secure, and timely data exchange and automation via smart contracts. In this paper, we discuss the impact of blockchain technology on supply chain risk management and, in particular, on supply chain resilience. We identify potential risk-related blockchain application scenarios and examine their impact on the existing resilience strategies. We explore the impact of the most promising applications with respect to resilience by using an agent-based simulation model of a complex supply network affected by disruptions. The theoretical analysis reveals a promotion of supply chain resilience strategies, especially if smart contracts are used for risk-related collaboration. The simulation study indicates an increase in resilience if the underlying collaboration is based on time-efficient processes: The propagation of disruptions, the network recovery time, and total costs can be substantially reduced. However, depending on the duration of the disruption, negative effects can occur if process efficiency is insufficient. From our investigations, we derive insights for managers who are interested in practical implementation.

show abstract

Section: Supply Chain Resilience and Blockchain Technology In The Conmentioning

confidence: 99%

Section: Theoretical Analysis Of the Impact Of Blockchain Technology mentioning

confidence: 99%

Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study

Lohmer

Bugert

Lasch

2020

International Journal of Production Economics

286

131

View full text Add to dashboard Cite

show abstract

“…Talib et al (2015) performed a Pareto analysis of the critical factors for implementing collaboration and concluded that logistic planning, reliability, communication, relationship, standard setting and quality are of high importance. For the effective use of resources, Yilmaz et al (2017), generated a conceptual model with collaborative network in 0 500 1,000 Seok and Nof (2014) discusses the structure of collaboration such as horizontal, vertical and lateral collaboration that would help the members for better sharing of information and build trust. Relationship and trust are the backbones of the collaborative techniques.…”

Section: Comparison Of Various Collaborative Techniquesmentioning

confidence: 99%

Literature review on supply chain collaboration: comparison of various collaborative techniques

Nimmy¹,

Chilkapure

Pillai

2019

JAMR

View full text Add to dashboard Cite

Purpose The purpose of this paper is to create an understanding on the magnitude and dimension of supply chain collaboration (SCC) reported in the literature. The detailed review discusses various indicators that help companies to implement collaboration successfully and create awareness on the barriers faced while initiating collaboration in supply chain (SC). Design/methodology/approach The meta-analysis includes full-text papers retrieved from the Web of Science database using verified keywords. The articles are reviewed for identifying the performance indicators used to evaluate the SC. The systematic review is performed for the collaborative techniques in the following categories: information sharing (IS); vendor managed inventory; and collaborative planning, forecasting and replenishment. The papers are then comprehensively analyzed for the approaches, and the key findings are mentioned along with the future scope. Findings The review suggests that the SC relationship, trust, quality of IS and technological involvement are to be focused for successful implementation of the collaborative technique. Proper collaboration helps SC partners to enhance their technique of operations in an effective manner which results in high business turnovers. Originality/value The review paper provides a quantitative study of SCC. A bird’s eye view of the scopes and benefits of using SCC for the academic scholars and industrial personnel are the primary concern discussed.

show abstract

Emerging Directions of Precision Agriculture and Agricultural Robotics

Nair

Nof

Bechar³

2021

Innovation in Agricultural Robotics for Precision Agriculture

View full text Add to dashboard Cite

A framework and algorithm for fair demand and capacity sharing in collaborative networks

Cited by 12 publications

References 16 publications

Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study

Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study

Literature review on supply chain collaboration: comparison of various collaborative techniques

Emerging Directions of Precision Agriculture and Agricultural Robotics

Contact Info

Product

Resources

About