Design of redistributed manufacturing networks: a model-based decision-making framework

Abstract

In this paper, a decision-making framework for the design of redistributed manufacturing (RdM) networks is developed. Redistributed manufacturing, a manufacturing paradigm greatly empowered by the Industry 4.0 toolset, is the shift in production towards geographically dispersed interconnected facilities. The framework is context independent, accounts for the collective impact of all decision-making levels on one another in an iterative manner, and incorporates uncertainty. The framework has been applied to a case study in the aerospace spare parts production sector. Results indicated that the RdM paradigm demonstrated considerable improvements in service level when compared with a traditional centralized counterpart, while it was not as competitive with regards to total cost. This paper contributes to the literature on model-based distributed manufacturing systems design under uncertainty, and enables informed decision-making regarding the redistribution of resources and decentralization of decision-making. The novelty of this paper is the approach employed to handle complexity, nonlinear interrelationships and uncertainty, within the domain of RdM network design. These computationally demanding attributes are handled through simulation, and only their impact is passed back to an analytical model that generates the RdM network.

Safe and Reconfigurable Manufacturing: Safety Aware Multi-Agent Control for Plug & Produce System.

“…This approach typically relies on creating a formalized representation of the agents' goals, and the available resources to achieve these goals [21]. Within this framework, agents utilize their internal models to reason about the environment, predict the consequences of their actions, and make informed decisions to achieve their goals [22,23]. On the other hand, the model-based safety approaches are centred on a formalism model of the control system and the safety-related information, followed by a safety analysis of the formal system model [24].…”

Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review

“…Khalifa et al [103], Trab et al [104] Service levels can improve in spare parts production when production is shifted to dispersed, interconnected facilities. Haddad et al [105], Lerher et al [106] Short-legged logistics problems can be solved with the usage of IoT and RFID technologies. Xu et al [107] Storage of data gathered is possible both remotely for all stakeholders and locally on specific computers.…”