1. OSCM Publications
  2. Volume 10, Issue 3, 2017

Volume 10, Issue 3, 2017

  1. Can Improved Transparency Reduce Supply Chain Risks in Cloud Computing?
    • Olusola Akinrolabu
    • Steve New
    Abstract Full PDF Cite DOI: 10.31387/oscm0280185
    As organisations move sensitive data to the cloud, their risk profile increases due to the integrated supply chain utilised in cloud computing. The risk is made visible in situations where a cloud offering is federated, with customer data located in multiple data centers, under the control of multiple providers and sub-providers in different jurisdictions. This problem is further exacerbated by the disposition of cloud providers to keep details of suppliers, data location, architecture, and security of infrastructure confidential from the cloud customers. As such, the shallowness of transparency amongst cloud providers makes it difficult for customers to assess the risk of cloud adoption. In this study, we report on our research into finding out how much customers know about their supply chain. We evaluate the transparency of cloud providers based on their published information and determine the resultant risk of limited visibility of the supply chain. In the course of the research, we identified eight transparency features, which, at a minimum, cloud providers should make available to their current or prospective customers, which we argue had no adverse impact on the competitiveness or profitability of the provider. The study concludes that ultimately, cloud supply chain transparency remains a customer-driven process.
    @article{olusolaakinrolabu-2017-1407,
  title={Can Improved Transparency Reduce Supply Chain Risks in Cloud Computing?},
  author={Olusola  Akinrolabu and Steve  New},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2017},
  volume={10},
  number={3},
  pages={130--140},
  doi={10.31387/oscm0280185}
}
    Olusola  Akinrolabu, Steve  New (2017). Can Improved Transparency Reduce Supply Chain Risks in Cloud Computing?. Operations and Supply Chain Management: An International Journal, 10(3), 130-140. https://doi.org/10.31387/oscm0280185
  2. Feasibility of Nearshoring European Manufacturing Located in China to Russia
    • Yulia Panova
    • Per Hilletofth
    Abstract Full PDF Cite DOI: 10.31387/oscm0280186
    The purpose of this study is to identify and analyze factors that support nearshoring of offshored European manufacturing located in China to Russia. The attention is paid to factors, such as labor cost, inflation, exchange rate, and labor productivity that are analyzed based on deterministic models to identify logical dependencies. This study shows that wage growth might deprive manufacturing in China from its main competitive advantage of cheap labor in the forthcoming years. The growing wage rates naturally contribute to the prime cost that is aggravated by the potential inflation, which, in turn, limit the margin in the selling price. The cumulative effect of other extra costs can aggregate such an amount that, in the foreseeable future, companies would need to relocate manufacturing to new locations. One option could be to nearshore manufacturing to Russia.
    @article{yuliapanova-2017-1408,
  title={Feasibility of Nearshoring European Manufacturing Located in China to Russia},
  author={Yulia  Panova and Per  Hilletofth},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2017},
  volume={10},
  number={3},
  pages={141--148},
  doi={10.31387/oscm0280186}
}
    Yulia  Panova, Per  Hilletofth (2017). Feasibility of Nearshoring European Manufacturing Located in China to Russia. Operations and Supply Chain Management: An International Journal, 10(3), 141-148. https://doi.org/10.31387/oscm0280186
  3. Duration of Collaboration from a Market Perspective: An Agent-based Modeling Approach
    • Niniet I. Arvitrida
    • Antuela A. Tako
    • Duncan A. Robertson
    • Stewart Robinson
    Abstract Full PDF Cite DOI: 10.31387/oscm0280187
    Maintaining a long-term partnership with a supplier is considered an effective strategy to achieve collaboration success in supply chain management (SCM). However, individual companies find that this approach does not always improve business performance. In this paper, an agent-based model (ABM) is developed to investigate the effect of duration of collaboration on supply chains from a market perspective. The model represents two-stage supply chains of an innovative product market, involving suppliers and manufacturers. The model outputs are measured by the rate of demand fulfilment and the number of supply chains which can survive in the market. The results show that duration of collaboration has no significant impact on both demand fulfilment and survivability of supply chains. This finding contradicts the common belief held in the literature about the benefits of longterm collaboration, but it corroborates examples encountered in practice. This study provides new insights to the practice of supply chain collaboration by taking a market perspective. The results show that a longer duration of collaboration does not provide a significant improvement to the supply chain's competitiveness from a market point of view, in terms of demand fulfillment and supply chain's ability to survive over the long-term. The implications of this finding to practice are discussed in the paper.
    @article{ninieti.arvitrida-2017-1409,
  title={Duration of Collaboration from a Market Perspective: An Agent-based Modeling Approach},
  author={Niniet I.  Arvitrida and Antuela A.  Tako and Duncan A.  Robertson and Stewart  Robinson},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2017},
  volume={10},
  number={3},
  pages={149--159},
  doi={10.31387/oscm0280187}
}
    Niniet I.  Arvitrida, Antuela A.  Tako, Duncan A.  Robertson, Stewart  Robinson (2017). Duration of Collaboration from a Market Perspective: An Agent-based Modeling Approach. Operations and Supply Chain Management: An International Journal, 10(3), 149-159. https://doi.org/10.31387/oscm0280187
  4. A Time-dependent Vehicle Routing Algorithms for Medical Supplies Distribution Under Emergency
    • Tsai-Yun Liao
    • Ta-Yin Hu
    • Yu-Wen Wu
    Abstract Full PDF Cite DOI: 10.31387/oscm0280188
    On 27 June 2015, flammable starch-based powder exploded at Formosa Fun Coast, a recreational water park in Bali, New Taipei, Taiwan, injuring 508 people, with 199 in critical condition. During the emergency medical distribution, two processes, casualty transportation and relief distribution, are poorly coordinated and performed. The medical relief distribution process can be described as vehicle routing problems with pickup and delivery under time-windows (VRPPDTW). Under Intelligent Transportation Systems (ITS), information can be gathered from roadside surveillance systems to design efficient and effective routes for medical relief distribution. In this study, a time-dependent VRPPDTW formulation is constructed based on the concept of step function and a solution algorithm is proposed to solve the VRPPDTW problem. Numerical experiments based on a city network with three hospitals are used to illustrate the proposed algorithms under different levels of traffic conditions.
    @article{tsai-yunliao-2017-1410,
  title={A Time-dependent Vehicle Routing Algorithms for Medical Supplies Distribution Under Emergency},
  author={Tsai-Yun  Liao and Ta-Yin  Hu and Yu-Wen  Wu},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2017},
  volume={10},
  number={3},
  pages={161--169},
  doi={10.31387/oscm0280188}
}
    Tsai-Yun  Liao, Ta-Yin  Hu, Yu-Wen  Wu (2017). A Time-dependent Vehicle Routing Algorithms for Medical Supplies Distribution Under Emergency. Operations and Supply Chain Management: An International Journal, 10(3), 161-169. https://doi.org/10.31387/oscm0280188
  5. An Operational Metric or An Operational Capability? The Role of Growth in Inventory Efficiency Growth
    • Andrew S. Manikas
    • Pankaj C. Patel
    Abstract Full PDF Cite DOI: 10.31387/oscm0280189
    Inventory efficiency is used as an operational benchmark in comparing performance against competitors. In this study, we propose extending to inventory efficiency growth over time on performance. Analyzing data from 1,286 US firms from 2003 to 2013 reveals that firms with significant improvements in inventory efficiency over time realize higher performance. Marketing efficiency, operational slack, and negative sales surprise negatively affect inventory efficiency growth. Overall, to realize higher performance, managers must aim to improve inventory efficiency growth over time and manage three levers of marketing efficiency, operational slack, and negative sales surprise.
    @article{andrews.manikas-2017-1411,
  title={An Operational Metric or An Operational Capability? The Role of Growth in Inventory Efficiency Growth},
  author={Andrew S.  Manikas and Pankaj C.  Patel},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2017},
  volume={10},
  number={3},
  pages={169--181},
  doi={10.31387/oscm0280189}
}
    Andrew S.  Manikas, Pankaj C.  Patel (2017). An Operational Metric or An Operational Capability? The Role of Growth in Inventory Efficiency Growth. Operations and Supply Chain Management: An International Journal, 10(3), 169-181. https://doi.org/10.31387/oscm0280189
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