The Single Machine Scheduling with Changeover Costs problem is found in many different workshops. In this case, the main criterion is the sequence-dependent changeover-costs or setup times. This Scheduling problem can be modeled as a Traveling Salesman Problem (TSP) and when time constraints are inserted into the model such as due-dates, the resulting problem is known as the Time Dependent Trav...

This research presents a formal model of the one machine job shop scheduling problem with variable machine and labor capacity. Primary interest is focused on the trade-off between overtime and detailed scheduling costs. The detailed scheduling problem considered is minimizing the sum of weighted tardiness and weighted flow-time costs for a given capacity plan (e.g., a given overtime schedule). ...

We consider the production of multiple standardized products on a single machine with limited capacity and set-up times under random demands and random production times, i.e., the so-called stochastic economic lot scheduling problem (SELSP). The main task for the production manager in this setting is the construction of a production plan for the machine that minimizes the total costs, i.e., the...

An important production programming problem arises in paper industries coupling multiple machine scheduling with cutting stocks. Concerning machine scheduling: how can the production of the quantity of large rolls of paper of different types be determined. These rolls are cut to meet demand of items. Scheduling that minimizes setups and production costs may produce rolls which may increase wast...

This paper compares the performance of Jaccard's similarity coefficient with the producti on data-based simi 1arity coeffi­ cient. A number of machine-component charts taken from the literature or randomly generated are used to form machine-component groups. Then, the sum of intercellular and intracellular material handling costs for each machine-component group is calculated and used as a basi...

Cell formation has received much attention from academicians and practitioners because of its strategic importance to modern manufacturing practices. Existing research on cell formation problems using integer programming (IP) has achieved the target of solving problems that simultaneously optimise: (a) cell formation (b) machine-cell allocation, and (c) part-machine allocation. This paper will ...

This paper investigates the optimal inventory replenishment policy for an economic production quantity (EPQ) model with backordering, rework and machine breakdown taking place in stock piling time. A prior paper by Chiu has examined the lot-sizing problem on an imperfect quality EPQ model. Due to another reliability factor random machine breakdown seems to be inevitable in most real world manuf...

this study presents a detailed analysis of cost management for intensive cultivation activity in terms of tomato production. the main objective was to provide qualitative and quantitative costs obtained in the intensive cultivation of tomato. this methodology was structured by activity costs (soil preparation and planting, crop monitoring, harvesting, selling, etc.) through a study in greenhous...

Group technology (GT) has a great significance in the engineering industry. There is the greatest utilisation of GT in planning activities, especially in process planning and in layout machine design. GT is a manufacturing philosophy that has proved successful by grouping parts into families to speed production and reduce costs. In addition, the application of GT can lead to reductions of in-pr...

Intrusion detection systems need to maximize security while minimizing costs. In this paper, we study the problem of building cost-sensitive intrusion detection models. We examine the major cost factors: development costs, operational costs, damage costs incurred due to intrusions, and the costs involved in responding to intrusions. We propose cost-sensitive machine learning techniques to produ...