1. OSCM Publications
  2. Volume 14, Issue 2, 2021

Volume 14, Issue 2, 2021

  1. A Hybrid Forecasting Technique to Deal with Heteroskedastic Demand in a Supply Chain
    • Sanjita Jaipuria
    • S. Mahapatra
    Abstract Full PDF Cite DOI: 10.31387/oscm0450291
    Under demand uncertain environment, maintaining a proper safety stock is very important to cope with the stock-out situation. Improper estimation of safety stock quantity leads to an improper estimation of the order and further causes bullwhip effect and net-stock amplification. In practice, demand is heteroskedastic in nature i.e. the variance of the demand varies with time. Therefore, it is important to predict the changing demand variance to update safety stock level in each replenishment cycle. The Autoregressive Integrated Moving Average (ARIMA) model applied to predict the mean demand assuming it is homoscedastic in nature. Whereas, the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model deal with heteroskedastic demand and help in projecting the changing demand variance. Hence, a combined approach of ARIMA and GARCH (ARIMA-GARCH) model has been proposed to evaluate the safety stock level and order quantity. The performance of ARIMA and ARIMA-GARCH has been evaluated considering the demand from a cement manufacturing company. The cement demand is seasonal in pattern and highly fluctuate. Using cement demand data, ARIMA (2, 1, 1) (0, 1, 1)12 and GARCH (2, 1) model is identified to forecast 12-months ahead mean and variance of demand to determine the safety stock and order quantity in each replenishment cycle applying the equations proposed by Zhang (2004) and Luong & Phien (2007). Further, bullwhip effect and net-stock amplification ratio are estimated to evaluate the performance of ARIMA-GARCH model against the ARIMA model. From the study, it has found that ARIMA-GARCH model outperforms the ARIMA as it updates the safety stock to calculate order quantity in each replenishment cycle.
    @article{sanjitajaipuria-2021-1503,
  title={A Hybrid Forecasting Technique to Deal with Heteroskedastic Demand in a Supply Chain},
  author={Sanjita  Jaipuria and S.  Mahapatra},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2021},
  volume={14},
  number={2},
  pages={123--132},
  doi={10.31387/oscm0450291}
}
    Sanjita  Jaipuria, S.  Mahapatra (2021). A Hybrid Forecasting Technique to Deal with Heteroskedastic Demand in a Supply Chain. Operations and Supply Chain Management: An International Journal, 14(2), 123-132. https://doi.org/10.31387/oscm0450291
  2. A Supply Chain Selection Method for Early-Stage Companies Based on an Adapted Quality Function Deployment Optimization Approach
    • Omar Romero-Hernandez
    • Sergio Romero-Hernandez
    • MV Shivaani
    Abstract Full PDF Cite DOI: 10.31387/oscm0450292
    In this paper, the QFD methodology is adapted to accommodate the assessment and selection of supply chain configurations. This new methodology incorporates a series of factors including supply chain needs, technical specifications, relationships among specifications, and potential synergies. Resultantly, the original contribution of this methodology is the selection of a supply chain scenario that balances the desire to fulfill a series of needs, along with the ability of a supply chain to deliver according to specification. This balance between need fulfilment and availability of supply chain is particularly difficult to strive for early-stage companies. Accordingly, this methodology was applied into the analysis and selection of four different supply chain scenarios considered for the production and final delivery of a large number of customer orders, placed for the Tesla Roadster vehicle, which needed to be fulfilled in record time. In all cases, scenarios were placed in context of the company’s mission so that business goals and operating decisions were aligned. The application was successful, and a specific supply chain design scenario was selected. The proposed methodology could be a roadmap for designing incipient supply chains.
    @article{omarromero-hernandez-2021-1504,
  title={A Supply Chain Selection Method for Early-Stage Companies Based on an Adapted Quality Function Deployment Optimization Approach},
  author={Omar  Romero-Hernandez and Sergio  Romero-Hernandez and MV  Shivaani},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2021},
  volume={14},
  number={2},
  pages={133--147},
  doi={10.31387/oscm0450292}
}
    Omar  Romero-Hernandez, Sergio  Romero-Hernandez, MV  Shivaani (2021). A Supply Chain Selection Method for Early-Stage Companies Based on an Adapted Quality Function Deployment Optimization Approach. Operations and Supply Chain Management: An International Journal, 14(2), 133-147. https://doi.org/10.31387/oscm0450292
  3. IoT in Supply Chain Management: Opportunities and Challenges for Businesses in Early Industry 4.0 Context
    • Tharaka de Vass
    • Himanshu Shee
    • Shah Miah
    Abstract Full PDF Cite DOI: 10.31387/oscm0450293
    The Internet of Things (IoT) is a global network of smart devices that integrate physical and digital worlds. While the IoT is reported to be a foundation technology for the emerged Industry 4.0 era, empirical evidence related to IoT use in supply chain management is scant. This study, therefore, investigates the opportunities and challenges of IoT use in the supply chains using grounded theory based interviews with managers from the Australian retail industry. The thematic analysis using NVivo reveals that IoT deployment improves visibility of goods movement, data capture, partner communication, and business intelligence. However, retailers face challenges due to the lack of top management initiative, new technology acquisition cost, stakeholders' reluctance to accept change, unwillingness to share data, and inadequate interoperability between partner systems. The study offers a proof-of-concept of IoT benefits that strengthen the IoT-related investment decision, sheds light on adoption challenges and develops propositions for future research.
    @article{tharakadevass-2021-1505,
  title={IoT in Supply Chain Management: Opportunities and Challenges for Businesses in Early Industry 4.0 Context},
  author={Tharaka  de Vass and Himanshu  Shee and Shah  Miah},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2021},
  volume={14},
  number={2},
  pages={148--161},
  doi={10.31387/oscm0450293}
}
    Tharaka  de Vass, Himanshu  Shee, Shah  Miah (2021). IoT in Supply Chain Management: Opportunities and Challenges for Businesses in Early Industry 4.0 Context. Operations and Supply Chain Management: An International Journal, 14(2), 148-161. https://doi.org/10.31387/oscm0450293
  4. Investigation of Factors Impacting Lean Implementation in the Indonesian Fast-Moving Consumer Goods Industry
    • Rio Tanudiharjo
    • Florence Yun
    • John Joo
    • Ivan Arokiam
    Abstract Full PDF Cite DOI: 10.31387/oscm0450294
    The fast-moving consumer goods (FMCG) industry is promising in Indonesia, with recorded sales of more than USD 10 billion, which represents more than 18% of Indonesia’s gross domestic product in 2016. Despite the lucrative market, FMCG companies face challenges due to intense competition and increasing operational costs. Consequently, Indonesian companies have begun to explore lean implementation to decrease their costs and improve efficiency, but with minimal success. This study investigates the critical success factors of lean implementation in the Indonesian FMCG industry, as such implementation cannot optimally occur if the implementing company does not successfully manage the important factors that affect lean implementation. This study tested various factors—namely, organizational culture, personnel capability, communication, and leadership and management involvement—that impact lean implementation and organizational performance in Indonesia’s FMCG industry. It was also found that leadership and management involvement are the most important factors. Based on the obtained results, this research proposes recommendations regarding the best lean implementation practices in Indonesian FMCG companies.
    @article{riotanudiharjo-2021-1506,
  title={Investigation of Factors Impacting Lean Implementation in the Indonesian Fast-Moving Consumer Goods Industry},
  author={Rio  Tanudiharjo and Florence  Yun and John  Joo and Ivan  Arokiam},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2021},
  volume={14},
  number={2},
  pages={162--172},
  doi={10.31387/oscm0450294}
}
    Rio  Tanudiharjo, Florence  Yun, John  Joo, Ivan  Arokiam (2021). Investigation of Factors Impacting Lean Implementation in the Indonesian Fast-Moving Consumer Goods Industry. Operations and Supply Chain Management: An International Journal, 14(2), 162-172. https://doi.org/10.31387/oscm0450294
  5. A Supply Chain Management Study: A Review of Theoretical Models from 2014 to 2019
    • Shu-Hsien Liao
    • Retno Widowati
    Abstract Full PDF Cite DOI: 10.31387/oscm0450295
    Supply Chain Management (SCM) refers to suppliers, manufacturers, warehouses, distribution centers, and distribu-tors who attempt to minimize the cost of the entire supply chain system while meeting certain customer service levels. This study examines supply chain management by reviewing the development of theoretical models of supply chain man-agement. In regard to the development of these models, this study used “supply chain management” as the key-words/article title and searched for matching articles on the following databases from 2014 to 2019: ScienceDirect, Wiley Online Library, Sage Online Journals, Taylor & Francis Online, Springer Link, Emerald Insight and OSCM FORUM. The various types of independent variables, dependent varia-bles, moderators, mediators, moderated mediation and medi-ated moderation for the research model that were designed and tested in the articles are considered as theoretical models of supply chain management. In addition, this study found supply chain management is a cross-category study issue. Ninety-seven articles are cited from forty-eight journals with twenty-five categories. This research is the first article in terms of investigating supply chain management studies using a theoretical model review based on a qualitative review re-search in supply chain issues. In reviewing these articles, this study categorizes past studies of supply chain management, identifies differences and indicates possible future develop-ments in the study of SCM.
    @article{shu-hsienliao-2021-1507,
  title={A Supply Chain Management Study: A Review of Theoretical Models from 2014 to 2019},
  author={Shu-Hsien  Liao and Retno  Widowati},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2021},
  volume={14},
  number={2},
  pages={173--188},
  doi={10.31387/oscm0450295}
}
    Shu-Hsien  Liao, Retno  Widowati (2021). A Supply Chain Management Study: A Review of Theoretical Models from 2014 to 2019. Operations and Supply Chain Management: An International Journal, 14(2), 173-188. https://doi.org/10.31387/oscm0450295
  6. Investigating the Influence of Organizational Factors on Supply Chain Awareness
    • Ramakrishna Yanamandra
    Abstract Full PDF Cite DOI: 10.31387/oscm0450296
    Organizations have improved customer service and witnessed a reduction in their overall costs of operations by implementing supply chain (SC) practices. But many research studies reveal that only the large size companies due to their size and financial ability to invest in innovative practices have been able to visualize these benefits of SCM and many medium size manufacturing companies (MSMCs) have not yet been able to fully reap the positive outcomes of SCM. Organizational factors like size, experience, capital investment and product variety influence this degree of SC awareness and adoption. Studies related to this aspect of SCM are found to be less focused on MSMCs. This paper therefore studies empirically the influence of these organizational factors the degree of SC awareness, identifies the SC practices and analyzes whether degree of SC awareness has any influence on the degree of adoption of SC practices in MSMCs. The results of this study provide value to the SC practitioners and researchers.
    @article{ramakrishnayanamandra-2021-1508,
  title={Investigating the Influence of Organizational Factors on Supply Chain Awareness},
  author={Ramakrishna  Yanamandra},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2021},
  volume={14},
  number={2},
  pages={189--202},
  doi={10.31387/oscm0450296}
}
    Ramakrishna  Yanamandra (2021). Investigating the Influence of Organizational Factors on Supply Chain Awareness. Operations and Supply Chain Management: An International Journal, 14(2), 189-202. https://doi.org/10.31387/oscm0450296
  7. Blockchain Technology and Trust in Supply Chain Management: A Literature Review and Research Agenda
    • Abbas Batwa
    • Andreas Norrman
    Abstract Full PDF Cite DOI: 10.31387/oscm0450297
    Applying blockchain technology for information sharing in supply chain is driven by many factors, but developing trust is one of the most proposed. However, trust is a multidimensional, intangible concept without an agreed-upon definition. Whereas some argue that trust is the main driver of blockchain technology, others have found a negative relationship. This study focuses on how applying blockchain in supply chain management can influence trust and proposes a corresponding research agenda. Trust and blockchain technology discussions are scattered throughout the literature. Thus, a systematic literature review was performed based on a conceptual trust framework. This study discovered a gap in linking trust theories to blockchain technology applications especially in supply chain management, and provided insights into trust’s reciprocal nature. Current literature strongly expects trust as a consequence for blockchain adoption if considered in the technology. Simultaneously, trust in supply chain partners is strongly expected as an antecedent to blockchain because it requires openness in information sharing. Thus, propositions and agenda for future research are suggested. The research is limited to literature findings due to the immaturity and low scalability of blockchain technology adoption; however, the most reviewed articles in less than two years old, increase the results’ accuracy.
    @article{abbasbatwa-2021-1509,
  title={Blockchain Technology and Trust in Supply Chain Management: A Literature Review and Research Agenda},
  author={Abbas  Batwa and Andreas  Norrman},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2021},
  volume={14},
  number={2},
  pages={203--220},
  doi={10.31387/oscm0450297}
}
    Abbas  Batwa, Andreas  Norrman (2021). Blockchain Technology and Trust in Supply Chain Management: A Literature Review and Research Agenda. Operations and Supply Chain Management: An International Journal, 14(2), 203-220. https://doi.org/10.31387/oscm0450297
  8. Investigation and Analysis of Omnichannel Logistics Models: A Study in The Electronic Retail Industry in Indonesia
    • Eliot Simangunsong
    • Ivan Subagyo
    Abstract Full PDF Cite DOI: 10.31387/oscm0450298
    The retail industry has undergone several transformations over the years. There are three types of retail channel from a logistical perspective. The first type is single-channel logistics, where retail traders operate one sales channel, and the logistic system is dedicated for one channel. The second type is multi-channel logistics, where retail traders use several channels, such as store and direct sales. The third type is omni-channel logistics, where retail buyers and traders do not differentiate channels. Shared logistics management is usually available through e-commerce and online sales. The objectives of this research are to investigate the retail transformation trend from offline retail traders to multi/omni-channel logistics and identification of suitable business strategy. Empirical quantitative approach is conducted in the form of a survey, which collected 114 data from electronic retailers. The data consists of 70 retail stores with offline and online stores and the other 44 respondents are retail stores with only offline stores. The result of the analysis shows that most retail transactions are offline transactions where buyers have to go to the retail stores to claim their products. However, there is sufficient empirical evidence that, in terms of financial performance, retailers that use multi-channel logistics have the best financial performance, followed by omni-channel and offline stores only. Three critical factors have been identified to contribute to the total retail sales increase. Firstly, price discrimination in product delivery, secondly, the existence of dedicated resources (space and staff) that are optimally used in terms of work time efficiency and buyer service, and thirdly, the ability for consumers to see every goods or stocks in all retail shops/warehouses.
    @article{eliotsimangunsong-2021-1510,
  title={Investigation and Analysis of Omnichannel Logistics Models: A Study in The Electronic Retail Industry in Indonesia},
  author={Eliot  Simangunsong and Ivan  Subagyo},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2021},
  volume={14},
  number={2},
  pages={221--231},
  doi={10.31387/oscm0450298}
}
    Eliot  Simangunsong, Ivan  Subagyo (2021). Investigation and Analysis of Omnichannel Logistics Models: A Study in The Electronic Retail Industry in Indonesia. Operations and Supply Chain Management: An International Journal, 14(2), 221-231. https://doi.org/10.31387/oscm0450298
  9. Social Media in Operations and Supply Chain Management: A Systematic Literature Review to Explore the Future
    • Yashoda Devi
    • Kunal Ganguly
    Abstract Full PDF Cite DOI: 10.31387/oscm0450299
    Increased use of social media (SM) has led to the generation of a huge quantity of data. Businesses are increasingly using the SM platforms and the data generated on these platforms in area of marketing, co-creation, and customer involvement. However, the contribution of SM in operations and supply chain management (OSCM) context is still not clear. The aim of this study is to perform an extant literature review of SM in the OSCM context and highlight the applications, methods, and future of SM in OSCM. Systematic literature review approach has been adopted in this study to organize, analyze, and synthesize the existing literature. The results highlight that the disruptive potential of SM has not been fully realized by the OSCM practitioners and researchers and hence the area of SM-OSCM integration is in the nascent stage. Further, the study sheds light on the current applications of SM in OSCM, underlines tools and techniques used by the researchers, and propose future research direction. The study outlines SM characteristics and examples of SM applications in OSCM field. Thus, giving insights to the practitioners and emphasizing the need to incorporate SM to improve OSCM performance. To the best of our knowledge, this study is the first attempt to analyze the existing literature in the intersection of SM-OSCM, and highlight the significance of incorporating SM in OSCM to improve OSCM performance.
    @article{yashodadevi-2021-1511,
  title={Social Media in Operations and Supply Chain Management: A Systematic Literature  Review to Explore the Future},
  author={Yashoda  Devi and Kunal  Ganguly},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2021},
  volume={14},
  number={2},
  pages={232--248},
  doi={10.31387/oscm0450299}
}
    Yashoda  Devi, Kunal  Ganguly (2021). Social Media in Operations and Supply Chain Management: A Systematic Literature  Review to Explore the Future. Operations and Supply Chain Management: An International Journal, 14(2), 232-248. https://doi.org/10.31387/oscm0450299
  10. Critical Manufacturing Prerequisites for Successful Reshoring
    • David Eriksson
    • Per Hilletofth
    • Wendy Tate
    • Mikael Gothager
    Abstract Full PDF Cite DOI: 10.31387/oscm0450300
    Reshoring is an emergent theme in research and practice. It is important for researchers to understand the motivating force and prerequisites for these reshoring activities, and to develop a method that supports sustainable reshoring decisions. The purpose of this study is to shed light on the prerequisites for successful reshoring. The preparation for this study consists of a systematic literature review. The findings presented here, however, are revelatory and emerged during a workshop. The findings were further researched at a total of four companies, which were part of data collection in a larger project. This research identified three scenarios, in which preceding manufacturing step, creation of parallel steps, or exploration of overcapacity are central. The paper also presents a stage-gate-process for reshoring decisions as well as a typology of reshoring alternatives. This research sheds light on prerequisites and contextual factors that enable companies to reshore. The importance of manufacturing capabilities can be seen in literature, but has not yet, to our knowledge, been given sufficient attention. The main practical implication is related to offshoring. Overly-aggressive offshoring can complicate future reshoring. As such, reshoring needs to be considered during offshoring, specifically what manufacturing capabilities that are kept at the domestic location.
    @article{davideriksson-2021-1512,
  title={Critical Manufacturing Prerequisites for Successful Reshoring},
  author={David  Eriksson and Per  Hilletofth and Wendy  Tate and Mikael  Gothager},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2021},
  volume={14},
  number={2},
  pages={249--260},
  doi={10.31387/oscm0450300}
}
    David  Eriksson, Per  Hilletofth, Wendy  Tate, Mikael  Gothager (2021). Critical Manufacturing Prerequisites for Successful Reshoring. Operations and Supply Chain Management: An International Journal, 14(2), 249-260. https://doi.org/10.31387/oscm0450300
Other links