The UN Sustainable Development Goals are not optional. They are about survival. Reaching them requires focus and strong innovation. Operations Management is about designing innovative business models ...to allocate scarce resources. It therefore has the toolkit to help move the sustainability agenda, provided it strongly opts for studying relevant and pressing problems and proves its potential impact. This study argues that this requires innovation as well as a paradigm shift in how we look at contributions. The good news is that a growing number of OM academics select to work on important facets of sustainability. The bad news is that we stepped into this field relatively late so the impact of that work is still modest. We need to push the boundaries of our discipline to develop new context‐dependent knowledge on pressing problems, provide evidence of the validity of our findings, and translate them into practical and easy‐to‐use decision tools. This study uses closed‐loop supply chains and humanitarian operations to illustrate and support this thesis. OM needs innovation to substantially contribute to the sustainable development agenda and thereby safeguard its own sustainability as a discipline.
Although predictive machine learning for supply chain data analytics has recently been reported as a significant area of investigation due to the rising popularity of the AI paradigm in industry, ...there is a distinct lack of case studies that showcase its application from a practical point of view. In this paper, we discuss the application of data analytics in predicting first tier supply chain disruptions using historical data available to an Original Equipment Manufacturer (OEM). Our methodology includes three phases: First, an exploratory phase is conducted to select and engineer potential features that can act as useful predictors of disruptions. This is followed by the development of a performance metric in alignment with the specific goals of the case study to rate successful methods. Third, an experimental design is created to systematically analyse the success rate of different algorithms, algorithmic parameters, on the selected feature space. Our results indicate that adding engineered features in the data, namely agility, outperforms other experiments leading to the final algorithm that can predict late orders with 80% accuracy. An additional contribution is the novel application of machine learning in predicting supply disruptions. Through the discussion and the development of the case study we hope to shed light on the development and application of data analytics techniques in the analysis of supply chain data. We conclude by highlighting the importance of domain knowledge for successfully engineering features.
Organisations face ever increasing pressure to deliver triple-bottom-line performance results in their supply chains. Yet despite the importance and complexity associated with environmental supply ...chain performance measurement (ESCPM), organisations struggle to achieve this. The purpose of this paper is to identify the important enablers, inhibitors and benefits to implementing ESCPM as a practice in firms. Data were collected from three focus groups and an industry survey of 388 UK supply chain professionals in a three-phase empirical study. Eighteen enablers, seventeen inhibitors and eleven benefits were identified and ranked in importance. A supply chain practice-based view was utilised as an overarching theoretical lens to conceptualise the study's findings and propose nineteen antecedents, arranged in a hierarchical framework, to enable practitioners to make effective ESCPM decisions. This paper provides an up-to-date review of the factors which influence ESCPM practice, addressing the need for additional research in this area.
PurposeThe food supply chain (FSC) challenges coupled with global disruptions, such as the recent coronavirus disease 2019 (COVID-19) pandemic outbreak, exacerbate its vulnerability. The Internet of ...things (IoT) is one of the disruptive technologies being adopted in food supply chain management (FSCM). This study aims to address the challenges of IoT adoption in the FSC by systematically analyzing the prior pertinent literature.Design/methodology/approachA structured literature review was used to collate a list of peer-reviewed and relevant publications. A total of 72 out of 210 articles were selected for the final evaluation.FindingsThe literature review findings suggest five themes: technical, financial, social, operational, educational and governmental related challenges. A total of 15 challenges were devised from the review related literature of IoT adoption. The study concludes with future research recommendations for scholars and practical implications for practitioners.Research limitations/implicationsWhile this study focuses on the overall FSC, further research should address other domains in the FSC such as cold supply chain, agriculture and perishable food to gain a better contextual understanding of the specific case.Originality/valueThe topic of IoT adoption in the FSCM is still considered emerging. Therefore, the present work contributes to the limited studies and documentation on the level of IoT implementation in the FSCM. This study should help organizations to assimilate how to adopt and manage the IoT application by addressing the factors and challenges presented in this research.
Purpose: Indeed due to global advancement, rapid technological innovation, and enhancing regional influence, supply chain (SC) has become an essential element. Now, competition has shifted from ...organization to industry level; any disruption can not only disturb organization but also affect the whole industry. Although Pakistan is agriculture land still industry sector is supporting more than half population, especially the automotive sector is the highest growing sector. Due to regional and economic shift toward China and India, this sector is facing numerous problems. Only thirteen large-scale automotive organizations are operational by creating collaboration among them many issues can be resolved. Supply chain collaboration has dogged the performance in various industries and in various regions. The aim of this study is to explore the potential benefits of supply chain collaboration toward achieving operational performance. Design/methodology/approach: This is an empirical investigation conducting among supply chain department of automotive industries in Pakistan. Data were collected from 232 members of the supply chain that include suppliers, manufacturers, and distributors. Factor analysis and multiple regressions through SPSS have been used for data analysis. Findings: The finding of this study reveals that two supply chain management approaches information sharing (IS), joint decision making (JDM) significantly effect, while Electronic Data Interchange (EDI) does not have a significant effect on operational performance. Research limitations: This study consists only three approaches, next study should include more approaches. Secondly, this study is limited to the automotive sector. Practical implications: This study will help the managers of the automotive industry in making their operation smooth by applying information sharing, joint decision making, and electronic data interchange. Originality/value: First novelty of this study is the implementation of supply chain collaboration for developing country especially for Pakistan. Secondly, this study seed collaboration as communication and include all aspects of communication like formal communication, informal communication.
Supply Chains with a Conscience Lee, Hau L.
Production and operations management,
March 2021, Letnik:
30, Številka:
3
Journal Article
Recenzirano
As supply chains become more and more globalized, even in times of disruptions and trade frictions, and that consumers are increasingly more demanding on the environmental and social responsibility ...performances of the supply chains that supply products they are buying, research in supply chain management should also contribute to make an impact under such trends. I call this “supply chains with a conscience,” where supply chains need to continuously strive to minimize the harms and negative impacts to the environment and people, while maximize the values and well‐beings of society at large, especially for those in emerging and developing economies. I want to share some frameworks of perspectives on this subject, some illustrative developments, and an example of a personal journey.
Supply chain literature has amply explored the effect of different resilience strategies in the face of supply chain disruptions. Firms often apply a multitude of resilience strategies in tandem. ...Such strategies can vary from slack inventory to volume flexibility and responsiveness to backup capacity. Yet, there is a lack of empirical or analytical evidence in how the combination of resilience strategies affects firm capabilities in the face of supply chain disruptions. In this paper, we use simulation modelling techniques to determine the effect of different combinations of resilience strategies in a systematic and stepwise manner. Our modelling considers different disruption attributes (capacity or delay), their effect (severity and likelihood), and their origin (i.e. upstream or downstream). A number of interesting observations are made. First, combining resilience strategies is not always beneficial and can occasionally have detrimental effects. Moreover, resilience strategies that are beneficial at the node (firm) level may prove ineffective at the system level. We also find that inventory and volume flexibility are strategies that combine well with others. The study offers several contributions to research and management in supply chain disruption and the study of resilience.
The circular economy (CE) has inspired the emergence of circular supply chains (CSCs) to reduce the environmental impacts of linear production systems. However, the transition to CSCs faces numerous ...challenges and uncertainties, which in turn impact the sustainability performance of CSCs. Following a systematic review process, this paper aims to identify the uncertainties that CSCs entail and the uncertainty management strategies which can be used to mitigate them to enhance their sustainability performance. A conceptual framework is proposed under which the current literature on CSCs, including 106 peer-reviewed English journal articles, is analysed and discussed based on CE practices, uncertainty management, and sustainability performance indicators. This framework offers guidance to CE and CSC scholars and supports practitioners and policymakers in being aware of the uncertainties related to the operationalisation and implementation of the CE in order to offer CE-inspired solutions. This paper also proposes a research agenda to investigate the integration of CE practices with supply chain management; the ways in which organisations manage different uncertainties simultaneously; and the effect of multiple uncertainty management strategies on firms' sustainability performance.
The impacts of COVID‐19 on labor in the food supply chain and on workers’ decisions to accept essential jobs are discussed. We then analyze surveys administered to low‐skilled domestic workers before ...and during the pandemic to assess respondents' attitudes toward food production, guest workers, immigration policy, and the government's response to COVID‐19. Results suggest the outbreak resulted in respondents, on average, shifting their view toward food being a national security issue and a higher degree of empathy for H‐2A workers. Regression analysis shows that gender, current agricultural workers, and information on COVID‐19 and agricultural field workers influenced respondents' answers.
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