Production Planning and Industrial Scheduling: Examples, Case Studies and Applications

ISBN-13: 9781420044201 / Angielski / Twarda / 2007 / 554 str.

Dileep Sule; Dileep R. Sule; D. R. Sule

Opis

In today's extremely competitive manufacturing market, effective production planning and scheduling processes are critical to streamlining production and increasing profits. Success in these areas means increased efficiency, capacity utilization, and reduced time required to complete jobs. From the initial stages of plant location and capacity determination to plant operations and manpower scheduling, Production Planning and Industrial Scheduling, Second Edition presents a cohesive outlook on optimization and planning. The author provides a focus on practical applications and integrates logistics and planning in the areas of production and scheduling. Critical Techniques for Optimizing Operational Productivity Starting with the strategic development of plant locations and capacities, the book lays out a clear process for creating an effective production plan with considerations for existing production facilities. It discusses forecasting and aggregate planning, which can predict demands under scenarios. In addition, the book introduces techniques to improve plant efficiencies in various areas, as well as material requirement and inventory and capacity planning. This expanded second edition features new information on safety stock determination, uncertainty in demand, and resource center capacity planning. The problem-specific case studies illustrate the effect of different procedures on the entire system and stress coordination between independent techniques to help achieve optimal efficiency. With the aid of this reference and the proper application of its concepts, industrial managers and engineers can reduce their manufacturing cost, succeed in fulfilling their customers' demands in a timely manner, and attain superior planning and overall control of manufacturing operations.

Spis treści

Introduction to Production Planning and Scheduling Production Planning Scheduling What is not included Plant Locations and Capacity Determination Existing Production Facilities New Plant Locations Uncertainty in Demand Forecasting and Aggregate Planning Forecasting Aggregate Planning Master Pproduction Scheduling and Material Requirement Planning Master Production Schedule Material Requirement Planning and Other Techniques Inventory and Capacity Planning Inventory Planning Safety Stock Determination Quantity Discounts Single Period Planning Consumption during Production JIT Inventory System Recourse Center Capacity Planning Theory of Constraints A Single Machine Scheduling The Tardiness Problem A Survey of Exact Methods for Single Machine Scheduling Problem Commonly Used Heuristic Rules Description of an Efficient Heuristic A Single Machine Problem with Early and Late Penalties Some Well-Known Theorems Other Objectives in Single-Machine Scheduling Common Due Date Common Due Date Specified by a Customer Early and Late Due Dates Quadratic or Nonlinear Penalty Function Minimization of the Average Delay Minimization of the Maximum Delay Minimize the Number of Jobs that are Delayed Illustrative Example Maximize the Number of Jobs Processed when the Available Time is Less than Total Processing Time Sequence-Dependent Jobs Sequence-Dependent Jobs with Minimum/Maximum Separations Minimize Variation of Flow Time Sequence-Dependent Setup Times Dual Criteria Delay of Early Completing Jobs Jobs Arriving at Different Times Flowshop Problems Two-Machine Problem Three-Machine Problem Setup/Processing and Removal Times Separated: Another Extension of Johnson's Algorithm Two-Machine Flowshop with Travel time Between Machines n Jobs/m-Machines Problem n-Job/m-Machine Problem: Jobs Arriving at Different Times Example Result Parallel Processing and Batch Sequencing Parallel Processing Single Operation Job Related Earliness/Tardiness Penalties WithMachine Activation Cost Nonidentical Parallel Processors Parallel Machines in a Flowshop Batch Scheduling for a Limited-Capacity Fixed-Period Process Problem Batch Scheduling for Limited-Capacity Processors, in Sequence with Varying Job Requirements Batch Sequencing Network-Based Scheduling Critical Path Method To Schedule a Network of Jobs on a Specified Number of Parallel Processors Scheduling n Jobs on m Parallel Machines when Each Job Can be Scheduled on p Machines, p" Being a Subset of m, that is, p = m Assembly Line Balancing Mixed Model Assembly Line Balancing Mixed-Model Assembly-Method to Minimize Stations Network Scheduling with Resource Constraint Job Shop Scheduling Job Shop Job Shop Scheduling to Minimize Makespan (SPT) Network Approach to Job Shop Scheduling Job Shop Scheduling to Minimize Tardiness Open-Shop Scheduling Minimize Makespan: Two-Machine Problem Minimize Makespan: Multiple-Machine Problem Minimization of Total Tardiness-Open Shop (MTT-OP) Minimization of Total Weighted Tardiness Penalties-Open Shop(MTWT-OP) Manpower Scheduling Consecutive Days-off Scheduling Rotating days (Weekends) off Monroe's Algorithm Tour Scheduling Three Consecutive Days Off Industrial Sequencing I: Scheduling on NC Machines Tabular Approach in Group Forming Job Sequencing to Minimize Tool Changeovers in Flexible Manufacturing Systems Heuristic to Minimize Throughput Time on an NC Machine Problem Definition and Assumptions Industrial Sequencing II: Electronic Assemblies:Component Tape Assemblies on a Sequencer A Heuristic Procedure for Tape Assembling on a Sequencer Industrial Sequencing III: Sequencing Feeder forComponent Tape Assembly Problem Description Heuristic Procedure IndustrialScheduling IV: Scheduling in Flexible Manufacturing A CDS-Based Two-Phase Algorithm for Group Scheduling withMultiple Robots in Assembly Operations APPENDIX: Computer Program Description INDEX Each Chapter includes a summary and bibliography

O autorze

Dileep R. Sule