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    <title>EconStor Community:</title>
    <link>https://hdl.handle.net/10419/329655</link>
    <description />
    <pubDate>Sat, 24 Oct 2026 23:40:34 GMT</pubDate>
    <dc:date>2026-10-24T23:40:34Z</dc:date>
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      <title>Orchestrating agile omnichannel supply chain planning through big data analytics and end-to-end visibility</title>
      <link>https://hdl.handle.net/10419/329762</link>
      <description>Title: Orchestrating agile omnichannel supply chain planning through big data analytics and end-to-end visibility
Authors: Ooi, Ting Kai; Hsieh, Cheng-Hsien; Wang, Shu-Mei; Huang, Yu-Kai
Abstract: Global supply chains become increasingly complex due to various uncertainties associated with the constant flux. With more firms engaging in global trade, reaping the benefits of offshoring and outsourcing a multitude of business functions worldwide, the increasing complexity continuously tests each company's supply chain resilience and agility. The advent of e-commerce makes omnichannel more critical for traditional retailers. Omnichannel supply chains introduce an increased operational complexity to the information flows than that of traditional supply chains, including the need to coordinate numerous sales channels, multiple net-work nodes and decentralised inventory. A lack of end-to-end visibility of information flows can result in poor demand-supply matching and eventually cause service loss concerning stockouts. Accordingly, this study uses big data analytics to explore the relationship between forecast accuracy and visibility. A company in the fast-moving consumer goods industry centred on the Association of South-east Asian Nations region is employed as the empirical case. Not only determining correlations between the transmitted forecasts and actual supply needs but also insights into the growing emphasis on the omnichannel supply chain are discussed. Analytical results indicate that end-to-end visibility of information is highly correlated with forecast accuracy of demand, supply and production planning. The developed framework assists businesses in understanding the complexities of omnichannel operations and the benefits of information consolidation. This enhances businesses' predictive analytics capabilities to facilitate supply chain planning and thus improve overall supply chain agility.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-01-01T00:00:00Z</dc:date>
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      <title>Towards sustainable energy selection for ships in response to maritime regulation</title>
      <link>https://hdl.handle.net/10419/329753</link>
      <description>Title: Towards sustainable energy selection for ships in response to maritime regulation
Authors: Chowdhury, Mohammed; Shaheen, Md. Mostafa Aziz; Hasan, Khandaker Rasel; Mahmud, Arif; Mahmud, Kazi Khaled
Abstract: Ship owners and operators are continuously seeking financially viable ways to comply with the Sulphur emission limits set out by the IMO, which calls for a reduction of sulphur content in ship fuel to less than 0.5% in 2020. The prudent decision in managing required energy sources by shipowners/operators will lead to an efficient ship operating decision, subsequently resulting in long-term financial return. The study aims to identify the factors influencing ship owners and operators to select the energy types in operating their vessels. Furthermore, the research explores the most desired energy sources to address the IMO Sulphur Cap Regulations 2020. One operation research method, namely the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), and one econometrics tool, namely the conditional logit model, have been used to explore the research objectives. The PROMETHEE analysis suggests that clean fuel (VLSFO) is the best alternative to respond IMO 2020, followed by scrubber installation. The conditional logit analysis suggests almost the same, indicating clean fuel as the only alternative for responding to regulation. The decision is driven by the vessel's age negatively and the size of the vessel positively. The study will enormously impact the ship's energy procurement practices in Bangladesh.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Regular and urgent ordering with lateral transshipment in a distribution network with stochastic pre-ordered and peddling demands</title>
      <link>https://hdl.handle.net/10419/329757</link>
      <description>Title: Regular and urgent ordering with lateral transshipment in a distribution network with stochastic pre-ordered and peddling demands
Authors: Chalida Donjuk; Jirajat Settasuk; Po-ngarm Somkun
Abstract: We propose inventory replenishment and lateral transshipment policies for a distribution network. The distribution centers place weekly regular orders and daily urgent orders to the factory. Two classes of stochastic demands, pre-ordered and peddling, cause either backlogging or lost sales when they are not satisfied. The policy was simulated using data from a case study. The results showed that the proposed policies reduced the total cost, which includes transportation costs for satisfied demands and lateral transshipment, back order and lost sale costs for unsatisfied demands, and inventory holding costs. The best policy reduced long-run total cost and was proved robust from sensitivity analysis. Finally, implementing the policy with the case study confirmed 9.97% total cost reduction and its practical application.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-01-01T00:00:00Z</dc:date>
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    <item>
      <title>The analysis of gaps in inter-organizational networks of international freight forwarders</title>
      <link>https://hdl.handle.net/10419/329759</link>
      <description>Title: The analysis of gaps in inter-organizational networks of international freight forwarders
Authors: Bae, Hee-Sung
Abstract: This study analyzes the gaps in inter-organizational network between market uncertainty (MU) and organizational uncertainty (OU) within the international freight forwarding industry in Korea. The measurement factors are developed based on previous studies. 54 questionnaires were completed by Korean international freight forwarders. Reliability of the data is identified by factor analysis, and the validity is tested by Cronbach's alpha. The hypothesis is verified as follows: the sample firms are classified into four clusters by cluster analysis on the basis of MU and OU, the gaps in inter-organizational network among the four clusters are tested by analysis of variance, and real gaps are identified by post hoc analysis. The results indicated a high level of inter-organizational network among clusters with both a high level and a low level of MU and OU. International freight forwarders in these clusters maintained long-term and collaborative relationships with partners through their networks. Therefore, multinational enterprises (MNEs) seeking to enter the market may benefit from forming a network with Korean international freight forwarders through agency contracts rather than through foreign direct investment (FDI).</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-01-01T00:00:00Z</dc:date>
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