Optimal dynamic scheduling policy for a made-to-stock production system

by Albert Y. Ha

Publisher: Yale School of Organization and Management in [New Haven, CT]

Written in English
Published: Downloads: 497
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Edition Notes

StatementAlbert Y. Ha.
SeriesWorking paper series B -- 124
ContributionsYale University. School of Organization and Management.
ID Numbers
Open LibraryOL19264161M

Scheduling Policy Design using Stochastic Dynamic Programming by Robert Glaubius Doctor of Philosophy in Computer Science Washington University in St. Louis, Research Advisor: Professor William D. Smart Scheduling policies for open soft real-time systems must be able to balance the com-Cited by: 4. The goal of stochastic scheduling is to identify scheduling policies that can optimize the objective. Stochastic scheduling problems can be classified into three broad types: problems concerning the scheduling of a batch of stochastic jobs, multi-armed bandit problems, and problems concerning the scheduling of queueing systems. These three types are usually under the assumption that complete . Our analysis focuses on two interrelated tasks: designing the outpatient appointment schedule, and establishing dynamic priority rules for admitting patients into service. We formulate the problem of managing patient demand for diagnostic service as a finite-horizon dynamic program and identify properties of the optimal : V GreenLinda, SavinSergei, WangBen.   Many organizations create nice charts with Project Few, however, create dynamic models to manage their projects. Dynamic models are easy to maintain and will continue to forecast the project until it ends. In this book, author Eric Uyttewaal describes the guidelines for making a dynamic schedule of your project/5(12).

  Abstract. This paper addresses the integrated production and transportation scheduling problem (PTSP) along global supply chains. An optimal solution for the PTSP requires solving simultaneously the production scheduling for all production facilities and the routing problems for the inter-facilities transportation of intermediate by: 2. Service Scheduling Dynamics The Microsoft Dynamics service scheduling feature provides an efficient way to schedule people, resources, facilities, and equipment in order to provide services to your customers. It is more helpful for some industries, such as healthcare, than others. Optimized Dynamic Production Scheduling is a state-of-the-art approach, developed by Optimal Electronics, for automating printed circuit board assembly and achieving fully optimized production capacity, in real time, without adding capital equipment or. Optimal Pricing and Production Scheduling Policies for an Inventory Model with Stock Dependent Production and Weibull Decay Essey Kebede Muluneh 1, * and K. Srinivasa Rao 2 1 Department of Statistics, Bahir Dar University, P.O. Box, Bahir Dar, Ethiopia 2 Department of Statistics, Andhra University, Visakhapatnam , India.

Optimal Policy for a Stochastic Scheduling Problem with Applications to Surgical Scheduling. Harish Guda. E-mail address: @ Naveen Jindal School of Management, The University of Texas at Dallas, Richardson, Texas, USA Cited by:   The manufacturer has a fixed production capacity in each production period, which impacts the time to start production as well as the production schedules. We develop a dynamic optimization model to analyze the optimal production schedules under capacity constraint and demand‐forecast by: 9. I'm reading through an algorithm textbook and I've come across yet another problem that I'm stuck on. I'm looking for some help solving it and if anyone could provide some similar, already-existing. Albert Y. Ha, "Optimal Dynamic Scheduling Policy for a Make-To-Stock Production System," Operations Research, INFORMS, vol. 45(1), pages , February. Diwakar Gupta & Lei Wang, "Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice," Operations Research, INFORMS, vol. 56(3), pages , : Yu Zhang, Vidyadhar G. Kulkarni.

Optimal dynamic scheduling policy for a made-to-stock production system by Albert Y. Ha Download PDF EPUB FB2

This paper considers the dynamic scheduling problem of a single-server, make-to-stock queue with two products. For the case of Poisson demands and exponential production times, we show that it is optimal to produce the product with the larger bμ index when it is backordered.

If the production times are identically distributed, the optimal policy can further be characterized by monotone switching Cited by: OPTIMAL DYNAMIC SCHEDULING POLICY FOR A MAKE-TO-STOCK PRODUCTION SYSTEM ALBERT Y. HA Yale University, New Haven, Connecticut (Received June ; revisions received FebruaryJuly ; accepted October ) This paper considers the dynamic scheduling problem of a single-server, make-to-stock queue with two products.

For the case of. Optimal Dynamic Scheduling Policy for a Make-To-Stock Production System This paper considers the dynamic scheduling problem of a single-server, make-to-stock queue with two products.

For the case of Poisson demands and exponential production times, we show that it is optimal to produce the product with the larger b μ index when it is by: Optimal Dynamic Scheduling Policy for a Make-to-Stock Production System Skip to content Search Publications All Fields Title Journal Title Author Subject ISBN/ISSN AdvancedCited by: This form of the optimal policy is due to Bellman.

Note that the optimal policy is independent of the initial state x 0. Also, note that we maximize over policies π, where at each time t the action taken is a t = π(x t). The optimal policy π* can be computed using different methods, which include linear programming and dynamic programing.

The methods of value iteration, policy iteration, policy Cited by: 3. Using sample path comparisons and dynamic programming, we give a characterization of the optimal hedging point policy for a certain region of the state space.

The characterization is simple enough to lead to easily implementable heuristics and provides a formal justification of Cited by: Optimal Stock Allocation for a Capacitated Supply System. Share on.

Authors: Francis de Véricourt. View Profile, Ha, A. Optimal dynamic scheduling policy for a make-to-stock production system. Oper.

Res Optimal Stock Allocation for a Capacitated Supply System. Mathematics of computing. Mathematical : de VéricourtFrancis, KaraesmenFikri, DalleryYves.

Optimal Scheduling Policies for a Production Service System with Two Items IFAC Proceedings Volumes, Vol. 46, No. 9 Optimal policy for a production-inventory system with price shift Cited by: The optimal production and service scheduling policies are addressed.

The optimal service scheduling policy is a generalization of the well-known optimal service scheduling policy of classical service system. The optimal production scheduling policy is studied numerically and its characteristics are by: 1.

Dynamic Production Scheduling for a Process Industry We consider a production system composed of identical and capacitated machines in parallel.

casts the optimal schedule as a. Optimal solution for a two-product dynamic scheduling problem in a just-in-time environment.

The policy H is optimal for the two-product type problem. A.Y. HaOptimal dynamic scheduling policy for a make-to-stock production system. Operations Research, 45 (1) (), pp. Cited by: 4. Optimal average cost policy for a queue with start-up and shut-down costs.

Optimal dynamic scheduling policy for a make-to-stock production system. Performance analysis of a multi-item production-inventory system under alternative policies. R.F.: Optimality of routing and servicing in dependent parallel Cited by: 9.

Clearly, an optimal production schedule will be based on both past experience and observation of the present state of the system (i.e the populations of the FIG and the instantaneous rates of the demand and production flows).

Hence, any optimal scheduling rule will necessarily present a time adaptive character (i.e. real time scheduling rules).Cited by: 7. We then develop several heuristic production scheduling policies when the service centre is regulated by the optimal scheduling policy.

Numerical examples verify the Author: Kangzhou Wang. In this paper, we address the problem of admission control and sequencing in a production system that produces two classes of products. The first class of products is made-to-stock, and the firm is contractually obliged to meet demand for this class of products.

The second class of products is made-to-order, and the firm has the option to accept (admit) or reject a particular by: A scheduling policy dictates whether the machine is idle or busy and specifies the job class to serve in the latter case.

Since the optimal solution can be numerically computed only for problems with several products, our goal is to develop effective policies that are computationally tractable for a Cited by: The concept of priority indices defined to discuss the Restless Bandit Problem (RBP) furnish a relevant approximative framework to approach the optimal scheduling of a multi-products make-to-stock production when no setup cost and/or time are incurred.

The resulting policy involves switching curves and hedging : F. Dusonchet, M.-O. Hongler. We consider optimal policies for a production facility in which several (K) products are made to stock in order to satisfy exogenous demand for each.

The single machine version of this problem in which the facility manufactures at most one product at a time to minimise inventory costs has been much by: 9. International Journal of Production Economics.

Vol Issues 1–3, DecemberPages Optimal solution for a two-product dynamic scheduling problem in a just-in-time environment. Author links open overlay panel Lyès Benyoucef Yannick Frein Bernard Penz. Show by: 4. 1 Optimal Stochastic Dynamic Scheduling for Managing Community Recovery from Natural Hazards Saeed Nozhatia,∗, Yugandhar Sarkaleb, Edwin K.

Chongb,c, Bruce R. Ellingwooda aDept. of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO bDept.

of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO Cited by: 3. Dynamic scheduling automatically recalculates the duration and budget for the project every time you make a change in the resources, hourly rates, hours of work and predecessor relationships.

Many commercial project scheduling software products allow for dynamic scheduling. Here are the critical elements required for the dynamic schedule to work. In order to maintain the performance of production system in the optimal state under dynamic interference an Opti-state control (OsC) method is proposed in this work.

Based on the idea of resilient control, OsC aims to keep the system in optimal operation state, not only to make decisions based on the goal of reducing the impact of a certain Author: Kai Zhang, Ting Qu, Dajian Zhou, Hongfei Jiang, Yuanxin Lin, Peize Li, Peize Li, Hongfei Guo, Yang L.

We investigate the structure of the optimal production policy, propose a new scheduling policy, and develop a method for calculating base stock levels under an arbitrary but given scheduling policy.

The optimal production policy has a special structure and is called a hedging-point policy. If the hedging points are known, the optimal production rate is readily specified.

Following the occurrence of an extreme natural or man-made event, community recovery management should aim at providing optimal restoration policies for a community over a planning horizon.

Calculating such optimal restoration polices in the presence of uncertainty poses significant challenges for community leaders. Stochastic scheduling for several interdependent infrastructure systems is a Cited by: 3. Production scheduling methods can be further classified as static scheduling and dynamic scheduling.

Static operation scheduling is performed during the compilation of the application. Once an acceptable scheduling solution is found, it is deployed as part of the application image.

In dynamic scheduling, a dedicated system component makes. Scheduling Policies. To fulfill those criteria, a scheduler has to use various policies or strategies: ss.

Just as it isn't fair for someone to bring a loaded shopping cart to the items. Overview of Universal Resource Scheduling in Dynamics 01/03/; you can use scheduling tools to book cases to customer service reps in the right department and time zone.

Logical Name, you will first need to customize the system to add additional statuses. More information: Customize your Dynamics system - define status reasons. The first is the joint optimal control problem for ordering and production decisions by extending the basic supply chain system in Chap.

2 to multiple products. The optimal control problem for raw material ordering and production capacity allocation over multiple types of products is : Dong-Ping Song. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

A common way of dynamically scheduling jobs in a manufacturing system is by implementing dispatching rules. The issues with this method are that the performance of these rules depends on the state the system is in at each moment and also that no “ideal” single rule exists for all the possible states that the system may be by: Since convex ordering implies dilation ordering (under finite means), the SVF sequence is also optimal under convex ordering of the processing durations.

We also study the effect of variability of the processing durations of the jobs on the optimal cost. An application of problem SET in surgical scheduling is by: The topic of this book is known as dynamic scheduling, and is used to refer to three dimensions of project management and scheduling: the construction of a baseline schedule and the analysis of a project schedule’s risk as preparation of the project control phase during project progress.

ThisBrand: Springer-Verlag Berlin Heidelberg.