By Sven Rogalski
The necessities for creation structures are continuously altering because of altering aggressive stipulations. This poses a problem for brands within the quite a few branches of and creates an ever-increasing desire for flexibility.
With this as a heritage, this publication explores the present advancements and traits in addition to their influence on today’s creation platforms. It additionally compares recognized techniques, ideas and techniques used to accomplish construction flexibility. equally, the sensible wisdom and present study might be drawn upon and subjected to a legitimate clinical research, during which the technical and organizational flexibility levels could be measured of their program in a construction method. the benefit and usability of this idea for brands is substantiated through its implementation in a software program device known as ecoFLEX and its useful software, in accordance with broad examples. This illustrates how flexibility flaws should be quick pointed out, categorized and correctly disposed of utilizing ecoFLEX. This device is helping to shut the space among ERP / PPS platforms and electronic manufacturing facility making plans tools.
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Additional info for Flexibility Measurement in Production Systems: Handling Uncertainties in Industrial Production
For instance, G€ unther and Haller classify the time-related domain by operative and strategic flexibility. The same holds for REFA, only that this organization uses the expressions short-term and long-term flexibility, and that they do not describe the target value of flexibility, but its reference object instead, as compared to G€unther and Haller [REFA-90] [G€uHa-99]. 3). On the other hand, Kaluza uses his own approach to classification, by pointing out a basic difference between the objective of flexibility, (target-oriented) and resource flexibility.
Are being documented with imprecise parameters, such as “High”, “Medium”, or “Old”, “New”, “Very old” and so on. By applying concrete fuzzy-logic-rules and simulation environment, reactions of the production system to demand fluctuations, to changing of production capacity and product mix, as well as to changing human resources demands, working shifts and diversified workplace- or personnel capacity, can be assessed using simulated test runs [AlSe-06]. With their fuzzy-rules-based procedure, Ali and Seifoddini enable considerations with regard to mix- and Volume flexibility on an engine- and line level.
If, in contrast to that, cost causing changing are necessary, the system is considered to be more inflexible which causes a higher POC-value with increasing costs. For calculating the POC-value, Chryssolouris goes back to the concept of the Event Tree, with what he calculates particular costs on the basis of occurrence probabilities of future scenarios. The scenario that totally features the lowest cost is considered to be the best [AMMC-05] [GPMC-07]. Consequently a one-productengine that is able to produce 1,000 pieces of product A per day and that causes costs of €20,000 with a realization probability of 80% has to be considered more flexible than an engine, that features a realization probability of 20% and costs of €100,000, but that is only able to produce 10,000 pieces of product A per day.