2008 IEEE International Conference on Service Operations and Logistics, and Informatics 2008
DOI: 10.1109/soli.2008.4682958
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Supply chain configuration management

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Cited by 5 publications
(5 citation statements)
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References 6 publications
(7 reference statements)
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“…What is the theoretical boundary of performance in a KVC? The search for efficiency has led many firms to restrain product line proliferation and centralize supply chains to offer the same brands throughout the global marketplace (Shein and Bell 2012). However, consumers' increasing preference for locally sourced and niche market products (Chaudhuri 2018), the need for shorter lead times in emergencies (Ludema and Johnson 2020), and other forces have sparked the strategic re‐thinking of the Product Value Chain (Cohen and Lee 2020). What are the implications to the KVC of the opportunities offered by localized knowledge‐based resources including highly skilled workers capable of tailoring product and process designs to better match the needs of local markets?…”
Section: Discussion and Future Workmentioning
confidence: 99%
“…What is the theoretical boundary of performance in a KVC? The search for efficiency has led many firms to restrain product line proliferation and centralize supply chains to offer the same brands throughout the global marketplace (Shein and Bell 2012). However, consumers' increasing preference for locally sourced and niche market products (Chaudhuri 2018), the need for shorter lead times in emergencies (Ludema and Johnson 2020), and other forces have sparked the strategic re‐thinking of the Product Value Chain (Cohen and Lee 2020). What are the implications to the KVC of the opportunities offered by localized knowledge‐based resources including highly skilled workers capable of tailoring product and process designs to better match the needs of local markets?…”
Section: Discussion and Future Workmentioning
confidence: 99%
“…The identification of variable X 9 or Awkward Measure and Poor Links to the Hinterlands as one of the most critical factors is justified. Normally, there should be a boost up in direct link between terminals, a fixed capacity by trains [13], an enormous stability on timetable, a fixed agreement in time and quality of services [15], and a more integrated price, therefore (transport + handling in dry port + distribution). We noticed that a seaport could be connected and reliable to one or more dry ports in the hinterland and or with other seaports in the foreland, creating an unswerving port network [1].…”
Section: Discussion Of Some Of the Critical Variablesmentioning
confidence: 99%
“…The variables to be used on the table are as follows: HCPSSL "High Costs of port for shippers & Shipping lines" (X 1 ), UDT "Undeveloped Technology" (X 2 ), LCY "Low Capacity" (X 3 ), ISS "Inadequate Shipping services" (X 4 ), SLSCWC "Shipping line strategies coping with the constraints" (X 5 ), POMMPS "Port ownership & management mainly public service" (X 6 ), CRLLDE "Containerization rate lingers low despite efforts" (X 7 ), PEPPC "Port efficiency on port productivity & cost" (X 8 ), AMPLH "Awkward measure & poor links to the hinterlands" (X 9 ), LCT "Location constraint" (X 10 ), PCURIM "Port capacity usually results from Inadequate maintenance" (X 11 ), PPSM "Port performance in WCA, slow motion" (X 12 ), and the studied carried is based on a 15 years plan (1995-2010) [13] [14]. The factors of these different years are portrayed on approximate percentage [9] of the gravity of the situation in West and Central Africa Ports logistics.…”
Section: Analysis On Multiple Regression Model Levelmentioning
confidence: 99%
“…Ambrosiano and Grazer mentioned that "all companies that aim to be competitive in the market should pay attention to the entire organization of the supply chain." [9] A large number of optimization models and algorithms have been developed to contribute to the decision-making process along the supply chain. Most of the recent research suggested models that would make decisions for only one function of the supply chain (e.g., production scheduling, facilities planning, inventory policies, etc.)…”
Section: Methodology and Model Buildingmentioning
confidence: 99%