![]() ![]() Simio continuously establishes innovations and the development of new features. Nonetheless, Simio found a suitable solution to reduce the time which is spent on the training. In this instance, both of the companies provide regular support to the services and necessary training in the form of documentation, seminars, and personal classes ( Capterra: Simio, 2015). Nevertheless, in this instance, Simio price to quality ratio contributes to its leading position.Īs for the training requirements, it is evident that the complexity of both of the software application requires certain training before starting its active usage. It is apparent that two software applications have some similarities in this aspect, as they provide similar features to the users. In turn, Simio has similar characteristics, such as design analysis and 1D and 3D simulations ( Capterra: Simio, 2015). It is apparent that these features help determine and maintain sufficient modeling of the processes. Additionally, it provides different kinds of modeling techniques and simulations, such as 1D and 3D simulations, dynamic, graphical, and continuous modeling ( Capterra: AnyLogic, 2015). One of them is the ability to develop and simulate the mixed model since it is one of the essentialities for sufficient modeling (Way, 2015). ![]() AnyLogic covers a wide variety of features. Nonetheless, it is evident that Simio is leading in this aspect since the prices for installation remain lower.įeatures are another aspect of comparison. However, whether AnyLogic established relevant price would be revealed while comparing the features and training requirements with Simio. It is apparent that the installation and maintenance of AnyLogic are more expensive. In turn, AnyLogic costs around $6,200 for one time per user ( Capterra: AnyLogic, 2015). In this instance, Simio is approximate $5,000 for the installation ( Capterra: Simio, 2015). Nonetheless, the maintenance costs vary depending on the product features and the packages. The second strategy makes these decisions jointly, in other words, the firm optimizes order lead time and price decisions at the same time.Simio and AnyLogic are simulation modeling applications, which have some differences and similarities. The sequential decision-making approach considers lead time quotation, considering production capabilities, followed by price quotation of marketing under the given lead time quote. In this regard, we model and evaluate two decision-making strategies. In such a system, we analyze the problem of order selection via price and lead time quotes. We divide customers in to two types: Price sensitive (PS) and lead time sensitive (LS), and apply the strategy that fits to their primary interests (MTO and ATO respectively). In this work, we model the main production stage with typically long cycle times, the semi-finished good inventory as well as the final assembly processes with shorter but non-negligible cycle times. As a result, the semiconductor industry current state is that the manufacturers provide flexibility beyond the contractual agreed date without any price adder. OEMs in the automotive industry), leading to a penalization of Tier 1 for delivering products later than agreed and a non-legal but existing pressure on the semiconductor industry to deliver earlier than the contractually agreed lead time. Tier 1 in the automotive industry) tend to sign “Just in Time” agreements with their customers (e.g. Furthermore, their customers (the customer of the semiconductor industry e.g. Earlier supply dates are valuable for customers due to the potential of lower inventory costs or for responding poor demand forecasts. This is specifically important for the semiconductor industry as it is characterized by long production lead times, high demand volatility and short delivery lead time requests. ![]() In general, based on the manufacturer’s information about the system load and inventory availability, lead time based pricing (LTBP) can help the manufacturer to balance capacity utilization rate while increasing the revenue by fulfilling customer orders earlier. This paper focuses on lead time based pricing in the context of RM in the semiconductor industry. ![]() This is a well-known Revenue Management (RM) situation in the service industry, which in other industries such as process industry is just coming up. Often, customers request to have a product delivered earlier than the standard time, and could be willing to pay a higher price to make that happen. A product manufacturer like a semiconductor company has usually contracts with customers to supply them with a certain quantity of a product by some upfront-agreed lead time and some flexibility in the rolling horizon updated planning. ![]()
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