1. OSCM Publications
  2. Volume 16, Issue 4, 2023

Volume 16, Issue 4, 2023

  1. Applications of Artificial Intelligence for Demand Forecasting
    • Thi Thuy Hanh Nguyen
    Abstract Full PDF Cite DOI: 10.31387/oscm0550401
    Artificial Intelligence (AI) has significantly contributed to the growth of various sectors and industries. One of the most significant contributions of AI applications is in forecasting. Consumer demand fluctuates faster than ever as a result of economic growth, advances in technology, and higher customer expectations, making forecasting future demand more difficult. Demand forecasting is a vital operation of supply chain management that aids in the best matching of supply and demand. Thus, improving demand forecasting accuracy is critical for companies and supply chains. Thanks to AI, businesses can accurately predict customer behavior. The study aims to provide a comprehensive review of how AI has been applied to forecast demand over the last decade. This research collects articles published between 2013 and 2023. According to the findings, AI is increasingly being used for demand forecasting in recent years. Energy and water demand forecasts receive the most attention. Long Short-Term Memory has gained prominence because of its advantages. Besides, this study will highlight the challenges of the adoption of AI. One of these challenges is selecting different reliable and suitable forecasting inputs for each AI method. This review will help supply chain managers and analysts select and implement suitable forecasting methods. Furthermore, this study will suggest some future research directions.
    @article{thithuyhanhnguyen-2023-1613,
  title={Applications of Artificial Intelligence for Demand Forecasting},
  author={Thi Thuy Hanh  Nguyen},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={4},
  pages={424--434},
  doi={10.31387/oscm0550401}
}
    Thi Thuy Hanh  Nguyen (2023). Applications of Artificial Intelligence for Demand Forecasting. Operations and Supply Chain Management: An International Journal, 16(4), 424-434. https://doi.org/10.31387/oscm0550401
  2. A Historical Review on Omni Channel Retailing Consumer Research
    • Lu Luo
    • Yipeng Sheng
    • Youngwook Song
    Abstract Full PDF Cite DOI: 10.31387/oscm0550402
    Consumer research is crucial in omnichannel retailing and is considered a primary focus in distribution management. This article presents an objective, systematic, and comprehensive review of the current literature on omnichannel consumers. We aim to systematically map the knowledge of omnichannel consumer research's thematic structure, theory, and methodology. We employed an integrated approach to analyze 152 journal articles, using bibliometric methods, including country and citation analysis, co-citation networks, literature coupling, thematic mapping, and historical citation networks. We conducted an exploratory analysis of selected studies to examine the features of countries, journals, authors, highly cited literature, and trends in this field. Additionally, the study underwent bibliometric analyses of keyword co-occurrence, bibliographic coupling, historical citations, and co-citation analysis. The keyword co-occurrence analysis was based on the frequency and importance of keywords, identifying four distinct clusters. The findings reveal that omnichannel research is a growing field. Scholars have examined omnichannel consumers from multiple perspectives, utilizing different research methods and theoretical foundations. However, further research is needed to explore omnichannel consumers in more countries and address factors such as regional and cultural differences. This research employs advanced tools for the first time to review the literature on omnichannel consumers and provides a comprehensive view of the topics of importance discussed in the literature on omnichannel consumer management. This study will provide insights for practitioners and academic researchers to improve decision-making and develop strategies.
    @article{luluo-2023-1614,
  title={A Historical Review on Omni Channel Retailing Consumer Research},
  author={Lu  Luo and Yipeng  Sheng and Youngwook  Song},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={4},
  pages={435--449},
  doi={10.31387/oscm0550402}
}
    Lu  Luo, Yipeng  Sheng, Youngwook  Song (2023). A Historical Review on Omni Channel Retailing Consumer Research. Operations and Supply Chain Management: An International Journal, 16(4), 435-449. https://doi.org/10.31387/oscm0550402
  3. Diminishing Profitability? Technology Adoption Capability and Its Impact on Firm Performance: The Case Study of Distribution Firms in Indonesia
    • Rizki Raksanugraha
    • Budi Soetjipto
    • Setyo Wijanto
    • Yuri Mansury
    Abstract Full PDF Cite DOI: 10.31387/oscm0550403
    Motivated by the trend of decreasing profitability among Indonesian firms, this paper investigates the impact of key variables related to technology adoption capability and strategy execution–including technology assessment, incentive structures and control mechanisms, as well as information flow and decision-making authority–on the performance of firms within Indonesia's fast-moving consumer goods distribution sector. The empirical strategy employs a unique approach for data gathering by utilizing a micro-survey of 393 fast-moving consumer good distributor firms in Indonesia to analyze this relationship. This study enriches the continuing discussion of the service and cost trade-off in supply chain management. It proposes an alternative perspective where the roles of technology adoption capability and strategy execution are considered. The key findings suggest that firms can improve both service and cost simultaneously by maintaining a high level of technology adoption capability and ensuring robust strategy execution. Finally, this study may contribute to the ongoing scholarly debate on the impact of technology adoption on firm performance and enable practitioners to take appropriate action when strategizing technology adoption to improve performance.
    @article{rizkiraksanugraha-2023-1615,
  title={Diminishing Profitability? Technology Adoption Capability and Its Impact on Firm Performance: The Case Study of Distribution Firms in Indonesia},
  author={Rizki  Raksanugraha and Budi  Soetjipto and Setyo  Wijanto and Yuri  Mansury},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={4},
  pages={450--461},
  doi={10.31387/oscm0550403}
}
    Rizki  Raksanugraha, Budi  Soetjipto, Setyo  Wijanto, Yuri  Mansury (2023). Diminishing Profitability? Technology Adoption Capability and Its Impact on Firm Performance: The Case Study of Distribution Firms in Indonesia. Operations and Supply Chain Management: An International Journal, 16(4), 450-461. https://doi.org/10.31387/oscm0550403
  4. Emerging Topics in Supply Chain Management Literature: A Scientometric Analysis
    • Olga Biedova
    • Maryam Mahdikhani
    Abstract Full PDF Cite DOI: 10.31387/oscm0550404
    The purpose of this article is to analyze the intellectual structure of the supply chain management (SCM) field, identify publishing patterns, and measure interest in the topic across fields, journals, regions, and institutions. The investigation focuses especially on the most recent publications to identify emerging topics in the field. The analysis was performed on a sample of 11,085 SCM publications indexed in the Web of Science and published between January 2010 and August 2021. Authors’ productivity was analyzed in terms of the number of published works and the number of times cited. Finally, the citation counts for individual articles captured the most fundamental works and gauged new dominant interests in the field. The results indicate that the number of publications more than doubled after the beginning of 2018, especially articles focusing on supply chain sustainability and green supply chains. The document co-citation network helped outline the dominant themes in the SCM literature: supply chain integration, green SCM, sustainable SCM, supplier selection, and supply chain risk management. Most importantly, emerging SCM topics were identified: SCM critical success factors, blockchain technology, big data analytics, and the circular economy.
    @article{olgabiedova-2023-1616,
  title={Emerging Topics in Supply Chain Management Literature: A Scientometric Analysis},
  author={Olga  Biedova and Maryam  Mahdikhani},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={4},
  pages={462--472},
  doi={10.31387/oscm0550404}
}
    Olga  Biedova, Maryam  Mahdikhani (2023). Emerging Topics in Supply Chain Management Literature: A Scientometric Analysis. Operations and Supply Chain Management: An International Journal, 16(4), 462-472. https://doi.org/10.31387/oscm0550404
  5. Hybrid Clustering Strategy for Micro-hubs Location in Newspaper Distribution
    • Karla Alvarez-Uribe
    • Eduard Ganan-Cardenas
    • Diego Perez-Montoya
    Abstract Full PDF Cite DOI: 10.31387/oscm0550405
    Facility location is one of the most critical factors in urban logistics planning, and the newspaper industry is no exception. Given the time-sensitive nature of newspapers and their narrow delivery time windows, efficient distribution network planning becomes essential. This research addresses the micro-hub location problem within the context of newspaper distribution across the Área Metropolitana del Valle de Aburrá in Medellin, Colombia, by developing a novel hybrid clustering strategy. We compare five clustering techniques: K-means, K-medians, K-medoids, Agglomerative Nesting (AGNES), and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Our strategy first uses AGNES (with single-linkage) to identify high-density regions and subsequently applies K-medoids within these identified areas to form compact clusters. Results demonstrated the superiority of the hybrid clustering strategy over both K-means and the individual clustering techniques. The hybrid approach generates more cohesive clusters, as evidenced by superior silhouette coefficients and within-cluster variance. The clustering proposal allowed 90% of customers to be located within 1.6 kilometers of a micro-hub, improving the distribution of newspapers in the urban areas.
    @article{karlaalvarez-uribe-2023-1617,
  title={Hybrid Clustering Strategy for Micro-hubs Location in Newspaper Distribution},
  author={Karla  Alvarez-Uribe and Eduard  Ganan-Cardenas and Diego  Perez-Montoya},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={4},
  pages={473--487},
  doi={10.31387/oscm0550405}
}
    Karla  Alvarez-Uribe, Eduard  Ganan-Cardenas, Diego  Perez-Montoya (2023). Hybrid Clustering Strategy for Micro-hubs Location in Newspaper Distribution. Operations and Supply Chain Management: An International Journal, 16(4), 473-487. https://doi.org/10.31387/oscm0550405
  6. Simulating Organizational Learning from Returns: Simulation of Closed Loop Supply Chains in Military Cases
    • Ilkka Ritola
    • Harold Krikke
    • Marjolein Caniëls
    • Quan Zhu
    Abstract Full PDF Cite DOI: 10.31387/oscm0550406
    Advances in new technologies and the management of complex supply networks have allowed firms to make their supply chains more flexible, responsive, and efficient. Organizational learning, improved IT capabilities, and new manufacturing technologies are among the drivers of these supply chain improvements. This study investigates the effectiveness of organizational learning in the context of a Closed-Loop Supply Chain (CLSC). We apply the Monte-Carlo simulation methodology to a case of military CLSC involving line-replaceable units (LRUs). Priority is put on minimizing downtime in the equipment caused by LRU failures. Additionally, we consider costs and the environmental footprint. We incorporate organizational learning into the simulation in two ways. Namely, improved failure rates and shorter lead times. This study presents a set of quantitative assessments on the effectiveness of several organizational learning interventions in a military CLSC. The results indicate that learning leading to product improvement has the largest impact on overall inventory cost reduction. This study contributes to the current research on CLSC value creation by quantifying the concrete implications of specific interventions using realistic data in a military CLSC. In addition, this study contributes to the growing literature on CLSC value creation in general, and in CLSC informational value research more specifically. However, this study focuses on a specific intervention, representing only a few ways in which value can be created in a CLSC. By providing managers with quantitative results regarding CLSC interventions, this research can aid managers in making better decisions regarding CLSC investments.
    @article{ilkkaritola-2023-1618,
  title={Simulating Organizational Learning from Returns: Simulation of Closed Loop Supply Chains in Military Cases},
  author={Ilkka  Ritola and Harold  Krikke and Marjolein  Caniëls and Quan  Zhu},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={4},
  pages={488--497},
  doi={10.31387/oscm0550406}
}
    Ilkka  Ritola, Harold  Krikke, Marjolein  Caniëls, Quan  Zhu (2023). Simulating Organizational Learning from Returns: Simulation of Closed Loop Supply Chains in Military Cases. Operations and Supply Chain Management: An International Journal, 16(4), 488-497. https://doi.org/10.31387/oscm0550406
  7. Key Directions for Transforming Supply Chain Management in Emerging Markets during the Post-COVID-19 Pandemic Period
    • Nail Israfilov
    • Varvara Druzyanova
    • Marina Ermakova
    • Anastasiya Sinitsyna
    Abstract Full PDF Cite DOI: 10.31387/oscm0550407
    This research aimed to identify the main directions for transforming supply chains in emerging markets to enable timely managerial responses to the challenges and opportunities during the post-COVID-19 pandemic period. The analysis of theoretical sources resulted in the formulation of the following research hypotheses: (H1) Sustainable development of supply chains in emerging markets during the post-COVID-19 pandemic period can be achieved through the digital transformation of supply chains; (H2) The most promising direction for transforming supply chain management in emerging markets during the post-COVID-19 pandemic period is ensuring digital readiness of supply chains. The research employs a quantitative approach, and its methodological design is based on this approach. Primary data for the study was collected through a structured online survey using Google Forms as the survey tool. During the analysis of the primary data, a combination of general scientific and specialized methods of cognition was applied, including econometric and economic-statistical methods, as well as a graphical representation of data. The developed methodology was validated through its application to the case of BRICS countries. The results of the validation allowed us to establish that the primary direction for the transformation of supply chains during the post-COVID-19 pandemic period should be considered digital transformation. The findings of this research may be of interest to supply chain management professionals in emerging markets and also hold relevance for academic researchers, particularly in terms of identifying promising directions for future investigations.
    @article{nailisrafilov-2023-1619,
  title={Key Directions for Transforming Supply Chain Management in Emerging Markets during the Post-COVID-19 Pandemic Period},
  author={Nail  Israfilov and Varvara  Druzyanova and Marina  Ermakova and Anastasiya  Sinitsyna},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={4},
  pages={498--508},
  doi={10.31387/oscm0550407}
}
    Nail  Israfilov, Varvara  Druzyanova, Marina  Ermakova, Anastasiya  Sinitsyna (2023). Key Directions for Transforming Supply Chain Management in Emerging Markets during the Post-COVID-19 Pandemic Period. Operations and Supply Chain Management: An International Journal, 16(4), 498-508. https://doi.org/10.31387/oscm0550407
  8. Optimizing New Product Development through a Systematic Integration of Design for Six Sigma (DFSS) and Theory of Inventive Problem Solving (TRIZ)
    • Yousef Amer
    • Linh Thi Truc Doan
    • Tran Thi Bich Chau Vo
    Abstract Full PDF Cite DOI: 10.31387/oscm0550408
    Companies must navigate the ever-evolving customer demands, technological advancements, and environmental and social considerations in today's dynamic market to develop innovative, high-quality products. Success requires understanding, prioritizing customer needs, exceeding expectations, and adopting a systematic and comprehensive approach. This paper proposes an advanced process for new product development by integrating the Theory of Inventive Problem Solving (TRIZ) with the existing Design for Six Sigma (DFSS) methodology. A case study of the design of teabags is presented to demonstrate the effectiveness of this framework. This study introduces a unique approach that integrates TRIZ tools within the DFSS methodology, leveraging DFSS as the structural foundation while harnessing TRIZ to stimulate creativity and innovation. This integration enhances product design by strategically applying TRIZ tools within specific stages, providing a novel perspective distinct from conventional DFSS practices. The result shows that companies can better understand their customers' needs using this integrated approach and create innovative, high-quality products that exceed expectations.
    @article{yousefamer-2023-1620,
  title={Optimizing New Product Development through a Systematic Integration of Design for Six Sigma (DFSS) and Theory of Inventive Problem Solving (TRIZ)},
  author={Yousef  Amer and Linh  Thi Truc Doan and Tran  Thi Bich Chau Vo},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={4},
  pages={509--523},
  doi={10.31387/oscm0550408}
}
    Yousef  Amer, Linh  Thi Truc Doan, Tran  Thi Bich Chau Vo (2023). Optimizing New Product Development through a Systematic Integration of Design for Six Sigma (DFSS) and Theory of Inventive Problem Solving (TRIZ). Operations and Supply Chain Management: An International Journal, 16(4), 509-523. https://doi.org/10.31387/oscm0550408
  9. A Supply Chain Perspective Reviewing Shoring Cases
    • Olli-Pekka Hilmola
    • Haihan Li
    • Per Hilletofth
    • Daniella Fjellström
    Abstract Full PDF Cite DOI: 10.31387/oscm0550409
    Shoring trend of supply chains has changed over the decades. In the initial stages it mostly concerned about offshoring, however, recently it has changed to reshoring. This study focuses on the mainstreams of shoring case studies from the supply chain perspective with a systematic literature review. We identified 22 supply chain shoring cases from the initial pool of thousands of supply chain case studies. Publishing activity was increasing until 2010, but thereafter it has been sporadic. It could be concluded that shoring always contains numerous risks. As failures were also reported, it is simply so that not too much weight should be placed on costs and locating only to one country. Based on research works, global sourcing will continue in the future, however, new locations and practices shall prevail. Single-sided reshoring supply chains back to developed economies is not the only answer due to costs and supply chain tensions.
    @article{olli-pekkahilmola-2023-1621,
  title={A Supply Chain Perspective Reviewing Shoring Cases},
  author={Olli-Pekka  Hilmola and Haihan  Li and Per  Hilletofth and Daniella  Fjellström},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={4},
  pages={524--534},
  doi={10.31387/oscm0550409}
}
    Olli-Pekka  Hilmola, Haihan  Li, Per  Hilletofth, Daniella  Fjellström (2023). A Supply Chain Perspective Reviewing Shoring Cases. Operations and Supply Chain Management: An International Journal, 16(4), 524-534. https://doi.org/10.31387/oscm0550409
  10. New Approach for Evaluating Berth Allocation Procedures Using Discrete Event Simulation to Reduce Total Port Handling Costs
    • Nurhadi Siswanto
    • Melati Kusumawati
    • Ahmed Raecky Baihaqy
    • Stefanus Eko Wiratno
    • Ruhul Sarker
    Abstract Full PDF Cite DOI: 10.31387/oscm0550410
    The berth allocation problem (BAP) is a significant problem in operational or tactical planning in maritime logistics. The BAP total cost of port handling consists of demurrage/despatch and operational costs from loading and unloading facilities. The BAP becomes more complex because of the uncertainties of ship arrival, unloading time, and the interdependence between loading and unloading processes, which may cause an unpredictable completion time. This study aims to evaluate berth allocation procedures to reduce the total port handling costs. The discrete event simulation (DES) approach is used to determine the best BAP procedure and to obtain the optimal number of facilities in the BAP. Twenty scenarios are generated by combining various dock and ship selection rules. In operational planning, the chosen scenario can save the company 0.125 financial units annually regarding total port handling cost. Meanwhile, optimization tools are employed in tactical planning to reveal the ideal number of unloading facilities used. The best scenario of tactical planning can reduce total handling cost by 15% or 3.209 financial units by adding more resources in unloading facilities, such as cranes and trucks, and implementing certain mechanisms in selecting ships and docks. Lastly, sensitivity analysis is performed to test the robustness of the simulation model by modifying several influential parameters, such as (i) material type, (ii) ship arrival rate, (iii) operational cost rate, (iv) demurrage rate, and (v) target unloading rate. This type of analysis also aims to find under what condition the selected scenario will be changed from what was initially chosen. The selected scenario on tactical planning is chosen as a basis, and it is revealed that the selected scenario remains consistent although the ship arrival and operational cost rate is increased. However, the selected best scenario will change when the material type changes and the demurrage rate or target unloading rate increases.
    @article{nurhadisiswanto-2023-1622,
  title={New Approach for Evaluating Berth Allocation Procedures Using Discrete Event Simulation to Reduce Total Port Handling Costs},
  author={Nurhadi  Siswanto and Melati  Kusumawati and Ahmed Raecky  Baihaqy and Stefanus Eko  Wiratno and Ruhul  Sarker},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2023},
  volume={16},
  number={4},
  pages={535--553},
  doi={10.31387/oscm0550410}
}
    Nurhadi  Siswanto, Melati  Kusumawati, Ahmed Raecky  Baihaqy, Stefanus Eko  Wiratno, Ruhul  Sarker (2023). New Approach for Evaluating Berth Allocation Procedures Using Discrete Event Simulation to Reduce Total Port Handling Costs. Operations and Supply Chain Management: An International Journal, 16(4), 535-553. https://doi.org/10.31387/oscm0550410
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