A service level model for the control wafers safety inventory problem

2004 ◽  
Vol 26 (5-6) ◽  
pp. 591-597 ◽  
Author(s):  
Shu-Hsing Chung ◽  
He Yau Kang ◽  
W.L. Pearn
1984 ◽  
Vol 16 (2) ◽  
pp. 378-401 ◽  
Author(s):  
A. G. De kok ◽  
H. C. Tijms ◽  
F. A. Van der Duyn Schouten

We consider a production-inventory problem in which the production rate can be continuously controlled in order to cope with random fluctuations in the demand. The demand process for a single product is a compound Poisson process. Excess demand is backlogged. Two production rates are available and the inventory level is continuously controlled by a switch-over rule characterized by two critical numbers. In accordance with common practice, we consider service measures such as the average number of stockouts per unit time and the fraction of demand to be met directly from stock on hand. The purpose of the paper is to derive practically useful approximations for the switch-over levels of the control rule such that a pre-specified value of the service level is achieved.


2015 ◽  
Vol 39 (4) ◽  
pp. 555-566 ◽  
Author(s):  
Achin Srivastav ◽  
Sunil Agrawal

This paper studies a multi-objective mixture inventory problem for a pharmaceutical distributor. The work starts with a discussion of a mixture inventory model and three objectives, namely the minimization of: 1) ordering and holding costs, 2) number of units that stockout and 3) frequency of stockout occasions. Multi-objective particle swarm optimization (MOPSO) is used to determine the non-dominated solutions and generate Pareto curves for the inventory system. Two variants of MOPSO are proposed, based on the selection of inertia weight. The performance of the proposed MOPSO algorithms is evaluated in comparison with two robust algorithms like non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective cuckoo search (MOCS). The metrics that are used for the performance measurement of the algorithms are error ratio, spacing and maximum spread. Furthermore, the technique of order preference by similarity to ideal solution (TOPSIS) is used to rank the non-dominated solutions and determine the best compromise solution among them. A factorial analysis develops the linear regression expressions of optimal cost, service level measures, lot size and safety stock factor for practitioners. Lastly, the results of the regression equations are compared using a MOPSO–TOPSIS approach and the validity of the developed equations are checked.


Author(s):  
YUFU NING ◽  
LIMEI YAN ◽  
HUANBIN SHA

A model is constructed for a type of multi-period inventory problem with deteriorating items, in which demands are assumed to be uncertain variables. The objective is to minimize the expected total cost including the ordering cost, inventory holding cost and deteriorating cost under constraints that demands should be satisfied with some service level in each period. To solve the model, two methods are proposed in different cases. When uncertain variables are linear, a crisp equivalent form of the model is provided. For the general cases, a hybrid algorithm integrating the 99-method and genetic algorithm is designed. Two examples are given to illustrate the effectiveness of the model and solving methods.


2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Hongzhi Lin

The population of Beijing has already come to its loading capacity. The China central government plans to build an ideal city named Xiong’an nearby Beijing. The city is expected to work as a carrying hub for noncapital functions of Beijing. The central government does not rush to build before a deliberated urban planning is accomplished. For sustainable development, a difficulty faced by urban planners is that the maximum number of people can be migrated from Beijing to Xiong’an with constraint on level of transport service. This paper developed a specialized bilevel programming model where the upper level is to ensure a predetermined transport service level regarding to population migration, while the lower level is feedback equilibrium between trip generation and traffic assignment. To be more specific, trip is generated by the gravity model, and traffic is assigned by the user equilibrium model. It is well known that the bilevel programming problem is tough and challenging. A try-and-error algorithm is designed for the upper-level model, and a method of successive average (MSA) is developed for the lower-level model. The effectiveness of the model and algorithm is validated by an experimental study using the current transport network between Beijing and Xiong’an. It shows that the methods can be very useful to identify the maximum population migration subject to level of transport service.


Author(s):  
Alan W. Brown ◽  
David J. Carney ◽  
Edwin J. Morris ◽  
Dennis B. Smith ◽  
Paul F. Zarrella

Early work on CASE environment integration concentrated on the mechanistic aspects of integration between tools. The process context in which those integrated tools would be used was less of a concern. In recent years, however, the process aspect of integration has grown in importance in the eyes of most members of the software community. The role of process, and hence of process integration, is now generally regarded as critical. Such issues as determining the impact of process on the choice of tools to be integrated, how those integrations should be implemented, and how a CASE environment will be used in the overall life of an enterprise are now increasingly seen as being of paramount importance. As an example, while one could assert that a particular analysis tool should be integrated with a documentation tool, this is of little real value. A more meaningful assertion is that the analysis tool must make use of documentation services to generate documentation in some standard life-cycle model form (e.g., DoD-STD-2167 document sets). The three-level model of integration proposed in this book reflects this interest in process. In our three-level model, process integration is orthogonal to mechanism- level integration and service-level integration. In this view, we see that integration is not just an amalgamation of related tools, but is the combination of several integrating mechanisms, used over some set of services (as implemented by tools) to achieve some specific process objective. Put another way, we view software processes as defining a design context, i.e., a set of integration requirements. When implemented, they can be expressed as a coordinated set of environment services, i.e., unified through a combination of control, data, and presentation mechanisms. In this chapter, we explore the broad subject of process integration in more detail. We first consider several divergent views on the nature of process integration itself, and particularly the question of process in the context of “process improvement.” We then examine the relationships between process integration and CASE tools and environments. We next look at some idealized examples of how processes and tools interact, and some issues raised by these examples.


1984 ◽  
Vol 16 (02) ◽  
pp. 378-401 ◽  
Author(s):  
A. G. De kok ◽  
H. C. Tijms ◽  
F. A. Van der Duyn Schouten

We consider a production-inventory problem in which the production rate can be continuously controlled in order to cope with random fluctuations in the demand. The demand process for a single product is a compound Poisson process. Excess demand is backlogged. Two production rates are available and the inventory level is continuously controlled by a switch-over rule characterized by two critical numbers. In accordance with common practice, we consider service measures such as the average number of stockouts per unit time and the fraction of demand to be met directly from stock on hand. The purpose of the paper is to derive practically useful approximations for the switch-over levels of the control rule such that a pre-specified value of the service level is achieved.


2008 ◽  
Vol 37 (1-3) ◽  
pp. 49-70 ◽  
Author(s):  
Christer Åhlund ◽  
Stefan Wallin ◽  
Karl Andersson ◽  
Robert Brännström
Keyword(s):  

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