Mass Customization is a strategy to deliver to customer highly customized product with the price comparable to products made in mass production processes. One of the key aspects in keeping cost at the low level is efficient utilization of production capacity. It can be achieved only if product workload is known. "MOST" technique seems to be very efficient tool to accomplish it. Fast and simple technique guarantee that very diverse products can be estimated in terms of total working time needed to produce them. In consequence "normhours" for every elements are determined which is further base for all kind of capacity planning. Another issue is to keep stability in delivery in Make to Order environment when there are fluctuations in demand reinforced by variation in workload. The problem can be solved by applying variable Lead Time, which means that when capacity or workload increase customer wait longer for product. It is the simplest solution and widely used, however it does not have to be preferable. Then instead, market fluctuation can be covered by flexible working hours, which can be achieved by overtime, seasonal workers or shifting working hours from low to high season period. Last mentioned problem is how to balance production process when there is unstable workload in particular sub-processes. Proposed solution is to keep some small amount of products buffer in between sub-processes and apply multifunctional workers who can operate more than one operation. It seems obvious that production capacity management in Mass Customization is more sophisticated than typical "Make to Stock" facilities. However there are methods and techniques available which can be applied and make Mass Customization possible to implement.
During the implementation of consulting projects for the organization after the stage of creating the concept, the next stage is to select the most important goals and programs of action. Contrary to appearances, this is not easy and obvious. Therefore in progress of this type of work for practitioners, the method of operationalized strategy was established and has been tested, using the fuzzy logic called MOST. This article, after showing the theoretical implications of this method, is focusing on selected examples of the application. It shows how to create a portfolio of work programs and/or projects to give them priorities and to examine existing dependencies and coherence of them.
PL
W trakcie realizacji projektów doradczych dla organizacji, po fazie stworzenia koncepcji nadchodzi etap wyboru najważniejszych celów i programów działania. Wbrew pozorom nie jest to łatwe ani oczywiste, dlatego w trakcie realizacji tego typu prac na rzecz praktyki powstała i została przetestowana metoda zoperacjonalizowania strategii przy zastosowaniu logiki rozmytej, nazwana MOST. Artykuł ten, po pokazaniu implikacji teoretycznych metody, koncentruje się na konkretnych przykładach aplikacji. Pokazuje, w jaki sposób tworzyć portfel programów działania i/lub projektów, jak nadawać im priorytety i badać występujące zależności oraz spójność pomiędzy nimi.
W trakcie realizacji projektów doradczych dla organizacji, po fazie stworzenia koncepcji nadchodzi etap wyboru najważniejszych celów i programów działania. Wbrew pozorom nie jest to łatwe ani oczywiste, dlatego w trakcie realizacji tego typu prac na rzecz praktyki powstała i została przetestowana metoda zoperacjonalizowania strategii przy zastosowaniu logiki rozmytej, nazwana MOST. Artykuł ten, po pokazaniu implikacji teoretycznych metody, koncentruje się na konkretnych przykładach aplikacji. Pokazuje, w jaki sposób tworzyć portfel programów działania i/lub projektów, jak nadawać im priorytety i badać występujące zależności oraz spójność pomiędzy nimi.
EN
During the implementation of consulting projects for the organization after the stage of creating the concept, the next stage is to select the most important goals and programs of action. Contrary to appearances, this is not easy and obvious. Therefore in progress of this type of work for practitioners, the method of operationalized strategy was established and has been tested, using the fuzzy logic called MOST. This article, after showing the theoretical implications of this method, is focusing on selected examples of the application. It shows how to create a portfolio of work programs and/or projects to give them priorities and to examine existing dependencies and coherence of them.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.