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Strategies to model scheduling decisions to plan the soft drink production process
(2012-06-13)
In this paper we present a mixed integer model that integrates lot sizing and lot scheduling decisions for the production planning of a soft drink company. The main contribution of the paper is to present a model that ...
Strategies to model scheduling decisions to plan the soft drink production process
(2012-06-13)
In this paper we present a mixed integer model that integrates lot sizing and lot scheduling decisions for the production planning of a soft drink company. The main contribution of the paper is to present a model that ...
Industry 4.0: Smart Scheduling
(Taylor & Francis Ltd, 2018-08-03)
Smart Manufacturing and Industry 4.0 production environments integrate the physical and decisional aspects of manufacturing processes into autonomous and decentralised systems. One of the main aspects in these systems is ...
Reactive Scheduling Framework Based-on Domain Knowledge and Constraint Programming
(Pergamon-Elsevier Science Ltd, 2010-12)
Industrial environments frequently face disruptive events. This contribution presents a support framework, aimed at addressing the repair-based reactive scheduling problem. It is based on an explicit object-oriented domain ...
Scheduling research contributions to Smart manufacturing
(Elsevier Ltd, 2018-01)
The incorporation of high technology to production systems is bringing the advent of Industry 4.0. One of the mainstays of Industry 4.0 is the application of Cyber-Physical Production Systems (CPPS). CPPSs will redefine ...
A priori reformulations for joint rolling-horizon scheduling of materials processing and lot-sizing problem
(2013-06-10)
In many production processes, a key material is prepared and then transformed into different final products. The lot sizing decisions concern not only the production of final products, but also that of material preparation ...
Scheduling the scheduling task: a time-management perspective on scheduling
(Springer, 2017-10-28)
The objective of this study was to characterize how schedulers spend their time interacting with external parties. Time is the most critical resource at the disposal of schedulers; however, its usage has been overlooked ...