Rapid Manufacturing: As an enabling technology in Supply Chain improvements

Rapid Manufacturing (RM), the direct production of a finished product, is a newly emerging manufacturing technology projected to provide supply chain benefits. However, there is a lack of information detailing its expected benefits in the supply chain. Robust, generic guidelines are needed in order to help practitioners cope with this emerging manufacturing technology. The aim of this research is to establish the benefits and difficulties of RM in supply chain along with an indication of the possible changes required to sustain RM as a future potential manufacturing machine. There is a common consensus that an information system is required for the effective functioning of the supply chain. This study concerns the integration of RM within the supply chain information system. As the parameters of the supply chain and information system applications are many, the research is focused on a specific set of parameters. Critically, the focus of the study is on identifying how RM would improve customisation and reduce lead time and inventory on products. The application of the information system is also examined. With the research focused towards the future, technological forecasting of RM's impact on the supply chain and information system is considered. Adopting scenarios the application of RM is explored in various supply chain structures, A performance analysis of RM is undertaken by means of a questionnaire involving people with relevant experience. From the results, decision analysis on supply chain structures adopting RM is undertaken to select a suitable structure for the manufacture of a product through RM. A decision-analysis tool kit is developed and products are grouped according to the criteria suitable for the application of RM. Validation of the decision-analysis tool kit and the suitability of RM in the supply chain is carried out via a case study of the production of a prosthetic product. The results how that the developed decision-analysis system works simply and effectively. RM is suitable for application in various supply chain structures; it provides a new dimension ('in-depth') in customising products as well as reducing inventory and lead-time. However, the full effectiveness of RM is entirely dependent on the supply chain structure adopted. Hence, some changes required to sustain RM as a future potential manufacturing system are suggested. Finally, the case study is used to illustrate the possible application of RM in improving selected parameters of supply chain performance for the manufacture of customised products.

[1]  Linda G Griffith,et al.  Emerging Design Principles in Biomaterials and Scaffolds for Tissue Engineering , 2002, Annals of the New York Academy of Sciences.

[2]  Michael Quayle A study of supply chain management practice in UK industrial SMEs , 2003 .

[3]  D Jones Impact of advanced manufacturing technology on prosthetic and orthotic practice. , 1988, Journal of biomedical engineering.

[4]  M. Christopher The Agile Supply Chain : Competing in Volatile Markets , 2000 .

[5]  Mika Lahti,et al.  Efficient purchasing in make-to-order supply chains , 1999 .

[6]  Zach G. Zacharia,et al.  DEFINING SUPPLY CHAIN MANAGEMENT , 2001 .

[7]  James F. Bredt,et al.  Digital manufacturing , 2000, SPIE Optics + Photonics.

[8]  Magid Igbaria,et al.  Aligning IT applications with manufacturing strategy: an integrated framework , 1997 .

[9]  Theo J.B.M. Postma,et al.  How to improve scenario analysis as a strategic management tool , 2005 .

[10]  A. Herrmann,et al.  Utility-oriented Product Distribution , 1997 .

[11]  Chua Chee Kai,et al.  Facial prosthetic model fabrication using rapid prototyping tools , 2000 .

[12]  Christian Lott,et al.  Mass Customisation , 2001 .

[13]  M. Frohlich,et al.  Demand chain management in manufacturing and services: web-based integration, drivers and performance , 2002 .

[14]  Matthew Hinton,et al.  Developing a framework to analyse the roles and relationships of online intermediaries , 2007, Int. J. Inf. Manag..

[15]  Daniel Vazquez-Bustelo,et al.  Approaches to mass customisation: an empirical replication , 2009, Int. J. Manuf. Technol. Manag..

[16]  Martin Eisenberg,et al.  Queues with Periodic Service and Changeover Time , 1972, Oper. Res..

[17]  Russell Rhyne Technological forecasting within alternative whole futures projections , 1974 .

[18]  Chua Chee Kai,et al.  Rapid prototyping issues in the 21st century , 1999 .

[19]  Charu Chandra,et al.  Enterprise architectural framework for supply-chain integration , 2001, Ind. Manag. Data Syst..

[20]  Joe Miemczyk,et al.  Logistics in the “three‐day car” age , 2002 .

[21]  R. V. Hoek,et al.  E‐supply chains – virtually non‐existing , 2001 .

[22]  N. Boubekri Technology enablers for supply chain management , 2001 .

[23]  Willard I. Zangwill,et al.  Variance Effects in Cyclic Production Systems , 1991 .

[24]  Kaiyin Huang,et al.  The impact of electronic commerce , 1997, SIGCPR '97.

[25]  Clare Harries,et al.  Correspondence to what? Coherence to what? What is good scenario-based decision making? , 2003 .

[26]  Fabrizio Salvador,et al.  Configuring products to address the customization-responsiveness squeeze: A survey of management issues and opportunities , 2004 .

[27]  Thomas F. Burgess,et al.  Manufacturing technology and the supply chain: Linking buyer-supplier relationships and advanced manufacturing technology , 1996 .

[28]  Marilyn M. Helms,et al.  Supply chain forecasting - Collaborative forecasting supports supply chain management , 2000, Bus. Process. Manag. J..

[29]  Nan Shing Ong Productivity improvements for a small “made‐to‐order” manufacturing environment , 1997 .

[30]  Sunil Chopra,et al.  Designing the distribution network in a supply chain , 2003 .

[31]  Hans-Peter Wiendahl,et al.  Logistics-oriented inventory analysis , 2003 .

[32]  Antonio Pflüger,et al.  Executive Summary. , 2012, Journal of the ICRU.

[33]  Douglas M. Lambert,et al.  Internet-enabled coordination in the supply chain , 2003 .

[34]  A. Gunasekarana,et al.  E-commerce and its impact on operations management , 2001 .

[35]  Müjgan Sagir Ozdemir,et al.  Validity and inconsistency in the analytic hierarchy process , 2005 .

[36]  Luis Murillo,et al.  Supply chain management and the international dissemination of e-commerce , 2001, Ind. Manag. Data Syst..

[37]  Ashok Ranchhod,et al.  Internet transactions and physical logistics: conflict or complementarity? , 2001 .

[38]  Robert J. Vokurka,et al.  A conceptual model of supply chain flexibility , 2003, Ind. Manag. Data Syst..

[39]  K. Cho,et al.  Multicriteria decision methods: An attempt to evaluate and unify , 2003 .

[40]  P V S Lee,et al.  Structural integrity of polypropylene prosthetic sockets manufactured using the polymer deposition technique , 2002, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[41]  William Fulkerson Information-Based Manufacturing in the Informational Age , 2000 .

[42]  Munir Eraghubi Integration of rapid prototyping technology with CAD , 2004 .

[43]  Terry Wohlers,et al.  Future potential of rapid prototyping and manufacturing around the world , 1995 .

[44]  Theodore J. Gordon,et al.  Frontiers of futures research: What's next? , 2005 .