Abstract

The framing into demand driven operations is because of the operations research modelling approach. The modelling approach requires continuous regressors and an independent response factor. The demand as an operating factor is considered as independent response factor in relation to the continuous regressors. The method validation is made along several longitudinal case studies to cover local, global and international industrial operations. The examined operational scope is from continuous operations to one-off production. Concerning scheduling, these examined demand driven, industrial operations are considered as open and dynamic, flow shop or job-shop operations.

The examined managerial scope is from local work management to global industrial operations management. The theoretical framework of this study is based on operations management, productivity and controllability engineering. The strategical target is to improve productivity. The operational target setting is based on linear goal programming, streamlined demand driven material flow and specified operating factors according to this study, Forrester effect diagnostics and replenishment models.

The engineering of strategical target into exact operational schedule as a task target is hard to accomplish, because of the combinatorial dynamic job-shop problem. The purpose of this study is to simplify this managerial task. These study operating factors are the heart in constructing a Decision Support System for the examined operations, alongside the method’s product flow diagnostics.

This operations management method consists of the operating factors, specified in this study and these specified factors’ use in constructing a Decision Support System, by engineering current operations management system. The construct consist two parts. Firstly, the exact operational target alignment along this method diagnostics and secondly, the control mechanism according to this operational linear target. The expected managerial benefit is in productivity improvement. The practical benefits are in savings in logistics costs and improvement in customer service, due to shorten lead time and exacting delivery.