Results 41 to 50 of about 9,342,233 (213)

Identifying and Mapping Industrial Districts Through a Spatially Constrained Cluster‐Wise Regression Approach

open access: yesJournal of Regional Science, Volume 65, Issue 2, Page 403-428, March 2025.
ABSTRACT The aim of this article is to exploit an innovative spatial econometric approach to map and study the evolving patterns of industrial districts (IDs). The procedure can be classified as a k‐means cluster‐wise regression procedure and is designed to detect homogeneous areas of subcontracting activity.
Jacopo Canello   +3 more
wiley   +1 more source

Supply Chain Coherence: Building Resilience for an Ever‐Changing World

open access: yesJournal of Supply Chain Management, EarlyView.
ABSTRACT In this article, it is argued that a key to resilience is maintaining a coherent supply chain despite the multitude of—often unforeseeable—challenges it encounters. Because there is a dearth of literature focusing specifically on supply chain coherence, this research explores the meaning and conceptualization of coherence in related fields ...
Mark Stevenson   +4 more
wiley   +1 more source

Robust Control of Bullwhip Effect for Supply Chain System With Time-Varying Delay on Basis of Discrete-Time Approach

open access: yesIEEE Access, 2023
The existence of time delay causes the operation of supply chain system to aggravate the instability, induce bullwhip effect and reduce overall performance.
Dong Chen   +5 more
doaj   +1 more source

Can the localization ratio be considered as a resilience indicator in the supply chain?

open access: yesInternational Transactions in Operational Research, Volume 33, Issue 6, Page 3698-3713, November 2026.
Abstract Supply chain resilience is concerned with establishing disruption‐resistant operational practices and ensuring the achievement of some planned performance responding to shocks. Thus, resilience is both a quality and a quantity. The existing literature is rich in analyzing each of these two parts separately. However, studies connecting quantity
Dmitry Ivanov
wiley   +1 more source

Exploring the bullwhip effect by means of spreadsheet simulation. [PDF]

open access: yes
An important supply chain research problem is the bullwhip effect: demand fluctuations increase as one moves up the supply chain from retailer to manufacturer. It has been recognized that demand forecasting and ordering policies are two of the key causes
Boute, Robert, Lambrecht, Marc
core   +2 more sources

The Estimation of the Bullwhip Effect and Stock Functions Using Response Surface Methodology [PDF]

open access: yesMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2013
A major cause of supply chain deficiencies is the bullwhip effect. This phenomenon refers to demand variability increases as one move up the supply chain.
maghsoud amiri   +2 more
doaj  

Study of the Bullwhip Effect under Various Forecasting Methods in Electronics Supply Chain with Dual Retailers considering Market Share

open access: yesComplexity, 2018
We establish in this paper a new two-stage supply chain with one manufacturer and two retailers which have a fixed market share in the mature and stable market with specific reference to consumer electronics industry.
Junhai Ma, Jing Zhang, Liqing Zhu
doaj   +1 more source

Combating Information Disorder in Healthcare: A Vaccine Supply Chain Case

open access: yesJournal of Business Logistics, Volume 47, Issue 3, July 2026.
ABSTRACT The COVID‐19 vaccine supply chain faced unprecedented disruption from information disorder (collectively, misinformation, disinformation, and malinformation (MDM)). While prior research has examined the societal and health consequences of information disorder, little is known about how it disrupts supply chain management (SCM) or how supply ...
Derek Dubois   +3 more
wiley   +1 more source

AI‐Enabled Collaborative Decision‐Making Mechanisms and Efficiency Improvement Paths for Industrial Supply Chains

open access: yesEngineering Reports, Volume 8, Issue 5, May 2026.
Industrial supply chains continue to face inefficiencies, fragmented decision‐making, and disruptions that weaken resilience and competitiveness. Traditional mechanisms often struggle to balance cost minimization, timely delivery, and adaptability under uncertainty, creating a need for advanced solutions.
Liqin Wang
wiley   +1 more source

AI‐driven circular economy optimization in waste management: A review of current evidence

open access: yesEnvironmental Progress &Sustainable Energy, Volume 45, Issue 3, May/June 2026.
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade   +3 more
wiley   +1 more source

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