Defining the Internet-based supply chain system for mass customized markets
Section snippets
Background
Today's global businesses must be agile and responsive to be competitive. Additionally, the infusion of information technology (IT) into every aspect of operations is transforming business environments from a production-centric model to one that is information and customer centric (Arjmand & Roach, 1999). Although the Internet has strengthened business with its convenience and 24×7 global accessibility, it also has dramatically shifted the traditional business model to create a new, competitive
Synchronized supply chain management: a new paradigm
Traditional SCM policies are process-driven and have used production to forecast policy. By ‘process-driven’, it is meant that specific and defined business processes serve as the standard from which the execution of business activities must not deviate. It usually takes the form of ‘business rules’ and ‘automated workflow’ that execute mechanically as part of the defined process, not giving consideration to the unique circumstances inherent in each specific scenario. This policy cannot
The enabling technology
The phenomenal growth of the Internet in the 1990s and its wide acceptance by all businesses has created a technological base that can support the integration of computing resources at the business, manufacturing, and industrial levels. Java technology is taking full advantage of the Internet and is rapidly becoming the platform of choice for new initiatives. The promise of write once, run anywhere has taken Java software portability and interoperability to another level. We believe the
Conclusions
This paper presented a technology-based SCM system that utilizes Internet, object-oriented, Java, and mobile intelligent technologies. The system uses e-commerce technologies such as e-marketplaces, brokers, and online auctioning for advanced production planning to support synchronized supply chain systems.
This SCM system can support a mass customized business model and allows the manufacturer and its suppliers and subcontractors to quickly and efficiently produce and deliver products. This
References (34)
- et al.
Vendor selection with price breaks
European Journal of Operations Research
(1993) - et al.
A mass production product-to-plant allocation problem
Computer and Industrial Engineering
(2001) The rediscovery of postponement: a literature review and direction for research
Journal of Operations Management
(2001)- et al.
Electronic commerce
(1999) - et al.
Synchronized supply chains: the new frontier
Achieving Supply Chain Excellence through Technology
(1999) - et al.
Creating greater customer value by synchronizing the supply chain
Achieving Supply Chain Excellence through Technology
(1999) An auction with the buyer completely in charge
Purchasing
(1999)Quantity discount decisions under conditions of multiple items, multiple suppliers, and resource limitations
IJPR
(1991)Object-oriented analysis and design
(1994)- et al.
The right game: use game theory to shape strategy
Harvard Business Review
(1995)
An introduction to object-oriented programming
Economic lot scheduling for multiple products on parallel identical processors
Management Science
Strategic Analysis of Integrated Production-Distribution Systems: Models and Methods
Operations Research
Optimal experimental design for combinatorial problems
Computational Economics
Vision in Manufacturing.
Mass customization at Hewlett–Packard: the power of postponement
Harvard Business Review
Minimum cost allocation of tenders
Operational Research Quarterly
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