File Name: introduction to sequencing and scheduling .zip
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Show More. No Downloads. Views Total views. Actions Shares. No notes for slide. Scheduling and sequencing 1. Introduction Operations scheduling is critical to the success of an organization; however, it can be a very complicated task.
Effective schedules are needed to meet promised customer delivery dates or inventory targets. If the overall goals of the organization are to be achieved, the schedules should reflect managerially acceptable performance measures.
The following list describes the most common performance measures used in operations scheduling. Job Flow Time: The amount of shop time for the job is called job flow time. It is the sum of the moving time between operations, waiting time for machines or work orders, process time including setups , and delays resulting from machine breakdowns, component unavailability, and the like.
Performance Measures Makespan: The total amount of time required to complete a group of jobs is called makespan. Past Due: The measure past due can be expressed as the amount of time by which a job missed its due date also referred to as tardiness or as the percentage of total jobs processed over some period of time that missed their due dates. Work-in-Process Inventory: Any job in a waiting line, moving from one operation to the next, being delayed for some reason, being processed, or residing in component or subassembly inventories is considered to be work-in-process inventory.
Performance Measures Total Inventory: The sum of scheduled receipts and on-hand inventories is the total inventory. Utilization: The percent of work time productively spent by a machine or worker is called utilization. These performance measures often are interrelated. An understanding of the interactions of job flow time, makespan, past due, WIP inventory, total inventory, and utilization can make scheduling easier.
Manufacturing Process 9. Types of Scheduling Types of Operations Scheduling are as follows: 1. Types of Scheduling 2. Publishing as Prentice Hall. Each operation is treated independently. If two or more jobs are tied, choose one job arbitrarily.
Step 2: If the shortest processing time is on workstation 1, schedule the corresponding job as early as possible. If the shortest processing time is on workstation 2, schedule the corresponding job as late as possible. Step 3: Eliminate the last job scheduled from further consideration. Repeat steps 1 and 2 until all jobs have been scheduled. Thank You. You just clipped your first slide!
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The aircraft arrival sequencing and scheduling ASS problem is a salient problem in airports' runway scheduling system, which proves to be nondeterministic polynomial NP hard. This paper formulates the ASS in the form of a constrained permutation problem and designs a new approximation algorithm to solve it. Then the numerical study is conducted, which validates that this new algorithm has much better performance than ant colony AC algorithm and CPLEX, especially when the aircraft types are not too many.
Project scheduling — the determination of activity times and project duration for complex projects composed of multiple activities with precedence relations;. Workforce scheduling — the determination of the number of workers and their duty cycles to meet certain labor restrictions; and. Scheduling problems have been studied informally for centuries. The Gantt Chart, developed in World War I for logistics purposes, is a graphical representation of tasks and resources over time, and was the first formal model used for scheduling purposes. Critical path methods were
Job shop scheduling or the job-shop problem JSP is an optimization problem in computer science and operations research in which jobs are assigned to resources at particular times. The makespan is the total length of the schedule that is, when all the jobs have finished processing.
This paper presents an overview of assignment and sequencing models that are used inthe scheduling of process operations with mathematical programming techniques. Althoughscheduling models are problem specific, there are common features which translate intosimilar types of constraints. Two major categories of scheduling models are identified:single-unit assignment models in which the assignment of tasks to units is known a priori,and multiple-unit assignment models in which several machines compete for the processingof products.
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