International Business Machines Corporation

Sanjay R Hegde

Robert J Milne

Brian Trevor Denton

Robert A Orzell

Shivakumar P Patil

Mahesh Chandra Pati

Richard Gerard Burda

Alfred Degbotse

Sameer T Shikalgar

Kenneth Jeffrey Fordyce

Chi-Tai Wang

Stuart H Smith

Jacqueline N Ward

Guogang Zuo

Chih-Hui Chang

Method, system and program product for planning production for complementary demands are disclosed. In one embodiment, a method includes obtaining complementary demand values including at least one daily going rate (DGR) demand and a service demand; running a first planning production model in which the at least one DGR demand is included and the service demand is excluded; and running a second planning production model in which DGR related variables are fixed to values determined in the first planning production model and the service demand is included. Demands that are only considered by one of the planning production models are considered complementary demands.

Planning production for complementary demands

A method, system, and program storage device for implementing the method of controlling a manufacturing system, wherein the method comprises providing a plurality of workpieces to be processed on a processing tool, the plurality of workpieces located at processing stations prior to the processing tool, determining auxiliary equipment allocation needs for the processing tool based on characteristics associated with the plurality of workpieces prior to the workpieces arriving at the processing tool, and sending auxiliary equipment to the processing tool based on the allocation needs prior to the workpieces arriving at the processing tool. According to an embodiment of the invention, the processing tool comprises a photolithographic system, the auxiliary equipment comprises a reticle, and the plurality of workpieces comprise semiconductor substrates.

Method and system for intelligent automated reticle managment

A method and system for resource rationing which employs decision rules for the optimal allocation of supply and capacity over time that satisfy two key requirements (a) being consistent with accepted operational objectives (e.g. low inventory, short lead times, prioritized allocation of supply and capacity) and (b) allowing for the timely computation of a feasible production schedule. The method and system is generally characterized in that it is able to divide each of the priority ranked scheduled releases (Material Requirements Planning (MRP)) into 'N' separate and smaller sized scheduled releases where the priority of each of the 'N' releases may be equal to the priority of the original release. The &#x201c;N&#x201d; separate and smaller sized scheduled releases are sorted according to priority and then used to determine an optimal supply schedule for allocating resources including component supply and assembly capacity.

Method for allocating limited component supply and capacity to optimize production scheduling

A method and system for efficient allocation of limited manufacturing resources over time to meet customer demand. At the enterprise planning level this typically requires determination of a feasible production schedule for an extended supply chain. The method and system utilizes a new and unique type of systematic decomposition based on both product and process considerations. This approach simultaneously reduces the model size (and therefore computation time) and increases modeling flexibility from strictly linear programming based decision making to include more general nonlinear programming characteristics.

Decomposition system and method for solving a large-scale semiconductor production planning problem

A method and system for controlling sequential capacity allocation through modification of traditional low level codes (LLC). The method and system of the present invention employs a systematic set of decision rules for interactively adjusting LLCs so that they are consistent with interdependencies of resources among parts due to resource sharing.

Method of calculating low level codes for considering capacities

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South Burlington, VT, United States of America

Sanjay R Hegde