Scenario analysis within a multi-stage stochastic programming formulation offers an attractive framework for modelling uncertainties in long-range planning models. However, whether the expected outcome is implicitly / explicitly evaluated, such formulations lead to computationally intensive optimization problems. Focussing here on the scenario planning / multi-period approach for mixed integer ...

A PRODUCTION PLANNING MODEL FOR MULTI-PRODUCT FACILITIES Chang Sup Sung Korea Advanced Institute of Science & Technology (Received April 5, 1985: Final September 18, 1985) A production planning model for multi-product facilities is analyzed, in which known demands must be satisfied. In the model, in every production period each facility produces a certain number of items each taking a fixed par...

Corresponding Author: Al-Ashhab Mohamed Sayed Department of Mechanical Engineering, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah, Saudi Arabia Email: [email protected] Abstract: As the importance of forward-reverse logistics increases, attention will be focused on parameters which affect Net Present Value (NPV) of the whole system, aiming at considering th...

In a competitive market, semiconductor fabricator must face an environment with multi-product types, multi-priority orders and demand changes in time. Since semiconductor fabrication has a very complicated production process, the above-stated characteristics make the production planning even more difficult. This paper applies data envelopment analysis (DEA) to find a set of product family mix t...

We propose a multi-agent vision-based architecture to solve complex sensor-based planning tasks. A test bed implementation, with skills such as vision and collision avoidance, was used to run experiments in the proposed architecture. We demonstrate experimentally how the system can execute successfully complex assembly plans while dealing with unpredictable events and imprecise information, wit...

A major problem in production planning is to determine when to release products into production to meet forecasted requirements. Recently, Riaño et al. (2002) proposed the Stochastic Production Planning (SPP) model for a multiperiod, multi-product system, where the lead time to produce a product may be random. The model determines release times for the products that ensure the requirements in e...

The study focuses on the dynamic multi-site capacity planning problem in the thin film transistor liquid crystal display (TFT-LCD) industry under stochastic demand. Capacity planning refers to the process of simultaneously implementing a robust capacity allocation plan and capacity expansion policy across multiple sites against stochastic demand. In addition, the demand situation in TFT-LCD man...

The gap between planning and execution is still an open problem that, despite several tries from members of both automated planning and autonomous agents communities, remains without a proper general-purpose solution. We aim to tackle this problem by using a framework for the development of multi-agent systems in both the decentralised multi-agent planning stages, and the execution stages, prov...

JDMS, Volume 1, Issue 3, August 2004 Page 127-140 © 2004 The Society for Modeling and Simulation International How can computer-aided planning systems deal with the complexities, uncertainties, and rapidly shifting information needed to support air warfare operational planning? This paper uses a hierarchical decomposition of decision-making, coupled to a predictive simulation model that estimat...

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix Acknowledgment . . . . . . . . . . . . . . . . . . . . . . . . . . xiii Notation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xv 1 Motion Planning with Chance Constraints . . . . . . . . . 1 1.