Optimization Models to Support Decision-Making in Collaborative Networks: A Review

Abstract

Enterprises, especially SMEs, are increasingly aware of belonging to Collaborative Networks (CN), due to the competitive advantages associated to deal with markets globalization and turbulence. The participation in CN involves enterprises to perform collaborative planning along all the processes established with the CN partners. Nevertheless, the access of SMEs to optimisation tools, for dealing with collaborative planning, is currently limited. To solve this concern, novel optimisation approaches have to be designed in order to improve the integrated planning in CN. In order to deal with this problem, this paper proposes a baseline to identify current enterprise needs and literature solutions in the replenishment, production and delivery collaborative planning, as a part of the H2020 Cloud Collaborative Manufacturing Networks (C2NET) research project. The

Models and algorithms for production planning, scheduling and sequencing problems: A holistic framework and a systematic review

“…In manufacturing environments, production planning supports decision makers in determining the use of resources, which are generally decisions made about the quantity to be produced, the inventory level, the required workforce size or the allocation of the necessary assets and resources to carry out the manufacturing process to meet the real or planned demand on a given horizon [85,86]. Production planning problems can cover mid-term or long-term planning horizons using aggregated or disaggregated information.…”

“…The present work considers that the scheduling plan deals with efficient resources allocation given a set of due dates, release dates, demand for products and operational restrictions to help to decide the number of products to be produced during each time period. Accordingly, the scheduling plan implies finding a way to assign times (at which each operation in the sequence will start and finish), corresponds to the activity of timetabling operations [89], while sequencing plans involves the sequencing of jobs given a set of shared resources (jobs, materials, machines) so that they meet certain production constraints; such as capacity, production levels, precedence, start and due dates, machine capabilities, machine availabilities, lot-size restrictions, resource requirements and resource availabilities [85,86,89] A sequencing plan specifies the order in which jobs are to be processed at a shared workstation.…”