TY - JOUR
T1 - Framework for modelling the decision
T2 - View of the supply chains collaborative planning process
AU - Perales, D. David Pérez
AU - Esteban, Francisco Cruz Lario
AU - Alemany Díaz, Ma Mar Eva
AU - Hernández, Jorge E.
N1 - Funding Information:
This work is derived from the authors’ participation in two research projects. The first one was funded by the spanish ministry of science and technology, entitled “Personalización en Masa y Cadenas de Suministro Inteligentes, con Productos y Procesos Complejos (PERMACASI)” Ref. DPI 2008-06788-C02-01. The second one was funded by the spanish ministry of economy and competitiveness (Ref. DPI2011-23597) and the universitat politècnica de València (Ref. PAID-06-11/1840), entitled “Methods and models for operations planning and order management in supply chains characterized by uncertainty in production due to the lack of product uniformity” (PLANGES-FHP). We also mention the aid obtained from the universitat politècnica de València for the visiting stays made by academic and research staff in prestigious european research groups/centres, in this case the ULMS (university of Liverpool management school) as part of its “research and development support programme” (PAID-00-11).
PY - 2012/4
Y1 - 2012/4
N2 - In the supply chains operations planning context, and from a research viewpoint, it has been mainly assumed that different supply chain members make decisions in a centralised manner (one decision centre). However, reality shows that this is not the most usual situation, rather distributed supply chain decision making is. This paper proposes a framework to support modelling the decisional view of collaborative planning from a decision-making process perspective for both centralised and distributed situations. Along these lines, the framework assumes that the supply chain may be composed of one or several decision centres which aim to support every supply chain planning operation. Therefore, the main framework contributions are: consideration of decisions jointly with physical, organisation and information views; the spatial and temporal integration among the different supply chain decision centres; the definition of the macro level for "conceptually" modelling the collaborative planning process and the micro level for developing analytical models in all the decisional activities identified in the supply chains operations planning process. Finally, a brief overview of a real case application is also described.
AB - In the supply chains operations planning context, and from a research viewpoint, it has been mainly assumed that different supply chain members make decisions in a centralised manner (one decision centre). However, reality shows that this is not the most usual situation, rather distributed supply chain decision making is. This paper proposes a framework to support modelling the decisional view of collaborative planning from a decision-making process perspective for both centralised and distributed situations. Along these lines, the framework assumes that the supply chain may be composed of one or several decision centres which aim to support every supply chain planning operation. Therefore, the main framework contributions are: consideration of decisions jointly with physical, organisation and information views; the spatial and temporal integration among the different supply chain decision centres; the definition of the macro level for "conceptually" modelling the collaborative planning process and the micro level for developing analytical models in all the decisional activities identified in the supply chains operations planning process. Finally, a brief overview of a real case application is also described.
KW - Collaborative planning
KW - Decision-making process
KW - Decisional view
KW - Framework
KW - Supply chains
UR - http://www.scopus.com/inward/record.url?scp=84870282838&partnerID=8YFLogxK
U2 - 10.4018/jdsst.2012040104
DO - 10.4018/jdsst.2012040104
M3 - Article
AN - SCOPUS:84870282838
SN - 1941-6296
VL - 4
SP - 59
EP - 77
JO - International Journal of Decision Support System Technology
JF - International Journal of Decision Support System Technology
IS - 2
ER -