scholarly journals Learning from Incidents: A Supply Chain Management Perspective in Military Environments

2020 ◽  
Vol 12 (14) ◽  
pp. 5750
Author(s):  
Raffaele Cantelmi ◽  
Giulio Di Gravio ◽  
Riccardo Patriarca
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Organizational Learning ◽  
Information Management ◽  
Management System ◽  
Safety Management ◽  
Information Management System ◽  
National Standards ◽  
Sustainable Supply Chain ◽  
Chain Management

Supply chain management (SCM) represents a crucial role in the military sector to ensure operation sustainability. Starting from the NATO handbook for military organizational learning, this paper aims at investigating the link between technical inconveniences and sustainable supply chain operations. Taking advantage of the learning from incidents (LFI) models traditionally used in the risk and safety management area, this paper proposes an information management system to support organizational learning from technical inconveniences in a military supply chain. The approach is discussed with reference to the Italian context, in line with international and national standards for technical inconvenience reporting. The results of the paper show the benefits of adopting a systematic LFI system for technical inconveniences, providing related exemplar business intelligence dashboards. Further implications for the generalization of the proposed information management system are presented to foster a healthy and effective reporting environment in military scenarios.

The Future of Supply Chain Management

2011 ◽  
pp. 2575-2588
Author(s):  
Ketan Vanjara
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Emergent Behavior ◽  
Future Research ◽  
Interconnected System ◽  
Healthcare Information ◽  
Chain Management

This chapter initiates the concept of a customercentric model in supply chain systems. It discusses various constraints of present-day supply chain systems resulting from their roots being in logistics management and suggests an alternative next-level paradigm of a customer-centric matrix model. This chapter further demonstrates how this model would add value to the customer by taking the example of a healthcare information management system. The chapter also delves into the limitations of and anticipated issues and challenges in implementing the suggested model. Finally, the chapter hints at some broad directions for future research and action in the field. Emergent behavior is what happens when an interconnected system of relatively simple elements begins to self-organize to form a more intelligent and more adaptive higher-level system (Johnson, 2001).

The Future of Supply Chain Management

2009 ◽  
pp. 344-358
Author(s):  
Ketan Vanjara
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Emergent Behavior ◽  
Future Research ◽  
Interconnected System ◽  
Healthcare Information ◽  
Chain Management

This chapter initiates the concept of a customercentric model in supply chain systems. It discusses various constraints of present-day supply chain systems resulting from their roots being in logistics management and suggests an alternative next-level paradigm of a customer-centric matrix model. This chapter further demonstrates how this model would add value to the customer by taking the example of a healthcare information management system. The chapter also delves into the limitations of and anticipated issues and challenges in implementing the suggested model. Finally, the chapter hints at some broad directions for future research and action in the field. Emergent behavior is what happens when an interconnected system of relatively simple elements begins to self-organize to form a more intelligent and more adaptive higher-level system (Johnson, 2001).

The Future of Supply Chain Management

2006 ◽  
pp. 48-66 ◽  
Author(s):  
Ketan Vanjara
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Emergent Behavior ◽  
Future Research ◽  
Interconnected System ◽  
Healthcare Information ◽  
Chain Management

This chapter initiates the concept of a customer-centric model in supply chain systems. It discusses various constraints of present-day supply chain systems resulting from their roots being in logistics management and suggests an alternative next-level paradigm of a customer-centric matrix model. This chapter further demonstrates how this model would add value to the customer by taking the example of a healthcare information management system. The chapter also delves into the limitations of and anticipated issues and challenges in implementing the suggested model. Finally, the chapter hints at some broad directions for future research and action in the field. Emergent behavior is what happens when an interconnected system of relatively simple elements begins to self-organize to form a more intelligent and more adaptive higher-level system (Johnson, 2001).

The Design of the Computer Aided Management System for Railway Electrification Engineering Logistics

2013 ◽  
Vol 443 ◽  
pp. 333-336
Author(s):  
Yi Tao Deng
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Management System ◽  
Object Oriented ◽  
Information Management System ◽  
Management Information ◽  
Logistics System ◽  
Chain Management ◽  
Computer Aided ◽  
Using Data

The logistics of railway electrification engineering, because of its unique industrial characteristics and intrinsic characteristics, can't be directly applied to the existing departments, industries, and the management information systems of other countries at present. In this paper, the logistics system of railway electrification engineering is analyzed based on object oriented analysis and in combination with the supply chain management information system and the author thinks that the key to analyzing the logistics information management system design of railway electrification engineering lies in the expression to the railway electrification engineering transportation supply chain management logic structure, and finally a computer aided decision system (CPFR model) based on the railway electrification engineering transportation supply chain distribution is established using data mining technology and object-oriented data model.

scholarly journals Implementing Strategic Sustainable Supply Chain Management

2021 ◽  
Vol 13 (15) ◽  
pp. 8132
Author(s):  
Cecilia Bratt ◽  
Robert Sroufe ◽  
Göran Broman
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Organizational Learning ◽  
Process Model ◽  
Implementation Process ◽  
Complex Nature ◽  
Successful Implementation ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management

Despite increasing business interest in sustainability in general and in sustainable supply chain management (SSCM), the ability to increase suppliers’ ecological and social performance is generally insufficient for many companies. In this study, we outline an implementation process model for sustainable supply chain management. We do so by synthesizing insights from a review of the sustainable supply chain management and organizational learning literature and a case study with a company aspiring to become a global leader in sustainable lighting. By combining these insights, we find that successful implementation of sustainable supply chain management requires sustainability to be anchored in a company’s vision and integrated into all functions. We also argue that organizational learning, especially learning with external stakeholders such as suppliers, an operational definition of socioecological sustainability among stakeholders, and procedural support for the cocreation of strategic plans for change are vital for achieving a truly sustainable supply chain. This definition and cocreation allow for attention to be directed toward strategic ecological and social practices, along with the joint handling of tradeoffs and economic considerations among stakeholders. As we build a foundation for an SSCM implementation process model, we use a science-based framework for strategic sustainable development. We call for more action-based research to uncover the complex nature of sustainable supply chain management, as there are unique challenges and dynamic relationships in every supply chain.

Sustainable supply chain management: continuing evolution and future directions

2019 ◽  
Vol 50 (1) ◽  
pp. 122-146 ◽  
Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Theory Development ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Unit Of Analysis ◽  
Chain Management ◽  
Content Type ◽  
Empirical Validity ◽  
Sustainable Supply Chain Management

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.

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