This article seeks to provide research opportunities in “socially responsible supply chains”. I first provide some background and context from the wider literature. Then I outline case studies in ...emerging countries where large companies engage the poor as producers and the poor as distributors. Next, I discuss different research topics arising from socially responsible supply chains.
Full text
Available for:
FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
While Industry 4.0 has been trending in practice and research, operations management studies in this area remain nascent. Our intent is to understand the current state of research in Industry 4.0 in ...different disciplines and deduce insights and opportunities for future research in operations management. In this paper, we provide a focused analysis to examine the state-of-the-art research in Industry 4.0. To learn about researchers' perspectives about Industry 4.0, we conducted a large-scale, cross-disciplinary and global survey on Industry 4.0 topics among researchers in industrial engineering, operations management, operations research, control and data science at the 9th IFAC MIM 2019 Conference in Berlin in August 2019. By using our survey findings and literature analysis, we build structural and conceptual frameworks to understand the current state of knowledge and to propose future research opportunities for operations management scholars.
Glossary of Abbreviations
AGV: Automated guided vehicle; AI: Artificial intelligence; APS: Advanced planning system: a wide variety of software tools and techniques, with many applications in manufacturing and logistics (including the service sector); BDA: Big data analytics; CAS: Complex adaptive system: a system composed of many interacting parts that evolve and adapt over time; CIM: Computer integrated manufacturing; CPFR: Collaborative planning, forecasting and replenishment; CPS: Cyber-physical system: a seamless integration of computation and physical components; DAMCLS: Decision analysis, modelling, control and learning systems; ERP: Enterprise resource planning; FMS: Flexible manufacturing system; I4.0: Industry 4.0; IFAC: International Federation of Automatic Control: a federation is concerned with the impact of control technology on society; IME: Industrial and mechanical engineering; IoT: Internet-of-Things; IT: Information technology; M2M: Machine-to-machine; MAS: Multi-agent system: a loosely coupled network of software agents that interact to solve problems that are beyond the individual capacities or knowledge of each problem solver; OR: Operations research; RFID: Radio frequency identification: a technology that uses electromagnetic fields to automatically identify and track tags attached to objects; RMS: Reconfigurable manufacturing system: a manufacturing system that can change and evolve rapidly in order to adjust its productivity capacity and functionality; OM: Operations management; T&T: Track and trace system; VCA: VOS viewer co-occurrence analysis: a software tool for visualising bibliometric networks; VMI: Vendor-managed inventory.
Full text
Available for:
BFBNIB, GIS, IJS, IZUM, KILJ, KISLJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Can technology and operations enable the world to achieve various United Nation Sustainable Development Goals? I provide my own perspective on this question by focusing on the issue of gender ...equality through the lens of “women's economic empowerment.” To do so, I use case examples to describe how innovative operations enabled by technologies (mobile phones/online platforms, solar technology, blockchain/AI, and Internet of Things) can empower women to alleviate poverty, reduce hunger by improving health, increase access to clean water and sanitation, increase access to education and decent work. Then I share some ideas for Operations Management researchers to consider so that we can explore and develop ways to close the “gender gap.”
Full text
Available for:
BFBNIB, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
By leveraging new technologies (Additive Manufacturing, Advanced Robotics, Artificial Intelligence, Autonomous Vehicles, Blockchain, Drones, Internet of Things, etc.), many companies are developing ...cyber-physical systems that can change the competition landscape. In the midst of this exciting development, we examine the strategic role of logistics and transportation services for creating economic, environmental and social values. Also, we discuss some new research directions.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
More firms than ever before are disclosing the provenance of their products, results of product testing, and suppliers’ compliance with labor‐practice norms in their annual reports, sustainability ...reports, and press releases, besides making such information available on third‐party websites. However, collecting and disclosing such information is not only costly but also does not provide clear benefits. While the terminology is not yet standard in the literature, this study distinguishes supply chain transparency from visibility. Here, visibility refers to managers’ efforts to learn more about operations upstream in their supply chains. In contrast, by transparency, we mean a company disclosing information to consumers, investors, and other stakeholders about compliance with consumer‐expected norms in its supply chain operations and products. To motivate further research on supply chain transparency, we first report recent examples of companies providing supply chain transparency. Then we present potential benefits of supply chain visibility and supply chain transparency, respectively, for the company. Finally, we propose topics for research on supply chain transparency arranged by stakeholder.
Full text
Available for:
BFBNIB, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
To gain cost advantage and market share, many firms implemented various initiatives such as outsourced manufacturing and product variety. These initiatives are effective in a stable environment, but ...they could make a supply chain more vulnerable to various types of disruptions caused by uncertain economic cycles, consumer demands, and natural and man-made disasters. In this paper, we review various quantitative models for managing supply chain risks. We also relate various supply chain risk management (SCRM) strategies examined in the research literature with actual practices. The intent of this paper is three-fold. First, we develop a unified framework for classifying SCRM articles. Second, we hope this review can serve as a practical guide for some researchers to navigate through the sea of research articles in this important area. Third, by highlighting the gap between theory and practice, we hope to motivate researchers to develop new models for mitigating supply chain disruptions.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
► Explain the role of operations for sustainability. ► Classify and summarize OR/MS sustainability literature. ► Identify gaps for future research.
Consumers and governments are pressuring firms to ...strike a balance between profitability and sustainability. However, this balance can only be maintained in the long run if the firm can take a holistic approach to sustain the financial flow (profit), resource flow (planet) and development flow (people) for the entire ecosystem comprising poor producers in emerging/developing markets, global supply chain partners, consumers in developed countries, and the planet. By considering the flows associated with different entities within the ecosystem, we classify and summarize recent Operations Research/Management Science (OR/MS) research developments. Also, we identify several gaps for future research in this important area.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
By examining the state of operations management (OM) research from 1980 to 2015 and by considering three new industry trends, we propose new OM research directions in socially and environmentally ...responsible value chains that fundamentally expand existing OM research in three dimensions: (a)
contexts
(emerging and developing economies); (b)
objectives
(economic, environmental, and social responsibility); and (c)
stakeholders
(producers, consumers, shareholders, for-profit/nonprofit/social enterprises, governments, and nongovernmental organizations). In this paper, we describe some examples of this new research direction that are intended to stimulate more exciting OM research, to contribute to the economic and social well-being of both developing and developed economies.
This paper was accepted by Teck-Hua Ho, operations management.
Full text
Available for:
BFBNIB, CEKLJ, IZUM, KILJ, NMLJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
ABSTRACT
As of July 2022, all Fortune 100 companies have made public announcements about their commitments to Diversity, Equity, and Inclusion (DEI). At the same time, more universities are offering ...DEI certificates or degree programs. Despite this recent social movement, DEI research in decision science remains nascent. DEI can be a politically sensitive topic, but its economic and social impact on organizations and employees deserves careful examination. This article intends to engender a discussion of various DEI research opportunities for decision science researchers to explore.
Full text
Available for:
BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
•A systematic review of published analytical models for managing supply chain risks.•Using bibliometric and network analysis tools for systemic literature mapping.•Eight research streams for formal ...modeling of supply chain risks.•Generative research areas that provide the field with foundational knowledge.•“Sustainability risk” is identified as an emerging and fast evolving research topic.
As supply chain risk management has transitioned from an emerging topic to a growing research area, there is a need to classify different types of research and examine the general trends of this research area. This helps identify fertile research streams with great potential for further examination. This paper presents a systematic review of the quantitative and analytical models (i.e. mathematical, optimization and simulation modeling efforts) for managing supply chain risks. We use bibliometric and network analysis tools to generate insights that have not been captured in the previous reviews on the topic. In particular, we complete a systemic mapping of the literature that identifies the key research clusters/topics, interrelationships, and generative research areas that have provided the field with the foundational knowledge, concepts, theories, tools, and techniques. Some of our findings include (1) quantitative analysis of supply chain risk is expanding rapidly; (2) European journals are the more popular research outlets for the dissemination of the knowledge developed by researchers in United States and Asia; and (3) sustainability risk analysis is an emerging and fast evolving research topic.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
PDF
