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Software Assessment for Capacity Planning and Feasibility Check of the Master Production Schedule
Published in Tugrul Daim, Marina Dabić, Yu-Shan Su, The Routledge Companion to Technology Management, 2023
It is essential to realize that the prediction power of the MSS is limited to the production boundaries and it differs from forecasts. Considering production as a part of the supply, it operates as a result of interaction between technologies, material, and labor. The activity level of these factors affects the capacity of the supply chain and, sometimes, it can be the limiting factor. The selected software, Simio, aims to predict and estimate the productivity of this interaction in a more accurate manner by considering their complexities and dynamic factors that exist in real life. The forecasting concept can be used for various aspects such as demand, economic, technological, weather, and demographic and targets the effect of political, environmental, social, technological, legal, and economic (PESTLE) factors on the supply chain. In other words, it aims to reduce the uncertainties about the future outcomes of actions and can include productivity of the manufacturing function. Therefore, Simio is only a tool to help this type of forecast more accurate within a more general concept of forecasting.
EPEC 4.0: an Industry 4.0-supported lean production control concept for the semi-process industry
Published in Production Planning & Control, 2022
Philipp Spenhoff, Johan C. (Hans) Wortmann, Marco Semini
The production process contains three major production stages: casting, extrusion, and forming. It starts with the casting of non-discrete materials in intermittent batches. These materials are extruded and then formed on different production lines into discrete end items. The production system exhibits an early DP in the first production stage of casting. Significant constraints are observable in a capacity bottleneck during extrusion, which exhibits long setup times. The plan is to use the available capacity as close to 100% utilization as possible. In case the demand exceeds the total available capacity, the equipment is the limiting factor of the production system capacity. As the regular production schedule utilizes a two-shift system, it is possible to increase the equipment utilization by modifying the working shifts (i.e. switching to a three-shift system and make use of an additional night shift and the weekend). Additional shifts imply significant increasing labour costs, and represent a major change of the working conditions for employees that affects their productivity. Shift changes should be done rarely and only after giving sufficiently advanced notice.