Scheduling algorithm

In this research, we study the bi-objective economic lot scheduling problem (ELSP) considering deteriorating items in which the shortage is allowed. The considered problem is NP-hard since the ELSP is already shown as NP-hard problem. The goal of this study is to minimize two objectives simultaneously; 1) setup and inventory holding costs including deteriorating factor, 2) total number of stock out units of each item during each period. The studied ELSP problem, adopts extended basic period…

Therefore, each part type is ideally produced in a single cell. Thus, material flow is simplified and scheduling task is made much easier. CM is a hybrid system (incorporates the flexibility of job shops and the high production rate of flow lines) in which machines are located in close proximity to one another (machine cell) and dedicated to a part family…

improve both resource utilization and job response time. Load balancing ensures that every node in the network does approximately equal amount of work (as per their capacity) at any instant of time. This paper discusses the existing load balancing algorithms in a cloud based environment. Load Balancing is an important aspect of cloud computing environment. Keywords: Cloud computing, load balancing, 1.INTRODUCTION: The extraordinary…

the way the brain works, as well as the larger process of biological evolution. Artificial Intelligence (AI) can also be simply described as a collection of hard problems which can be solved by humans and other living things, but for which the algorithm for solving them is not available (Zhang, 2011). Although a subfield of computer science, Artificial Intelligence…

Summary During the summer of 1997, a study of aircraft maintenance employee schedules was conducted at the flight department of Saudi Aramco (biggest oil company in the world) in Dhahran, Saudi Arabia (Alfares, 1997) Objective was to calculate the current fixed-wing aircraft maintenance worker schedule and come out with solution to improve and to decide the optimum work schedule that fulfills increasing maintenance labor requirements with the lowest cost and highest efficiency. Flight department…

implementation viewpoint. The PSO algorithm has one main operator is the “velocity” equation. It consists of some components in the search space with a velocity (each particle also carries a memory). The velocity provides the search directions for each particle. It can be updated in each iteration of the PSO algorithm. There are three vectors related with each particle in the PSO. They are previous best position current position and velocity. The PSO algorithm uses a cooperative search…

1a. Management commitment and involvement 1b. Training, Education, learning and Growth 2. Project prioritization, selection, reviews and tracking. 3. Linking Six Sigma to business strategy 4a. Linking Six Sigma to customers, 4b.Organizational infrastructure and 4c. Cultural change 5. Liking Six Sigma to suppliers 6. Understanding of Six Sigma methodology, tools, and techniques 7. Four success factors are directly related to Human Resource Management and if we combine their frequencies it will…

1.1 Overview Cryptography is the science/practice of “writing in secret” (“crypto”= “secret, “graphy” = “writing”). Cryptographic functions are generally defined as algorithms or protocols, rules that govern how data is processed to turn plaintext (unencrypted data) into cipher text (encrypted data) [1]. Cryptography is a method of storing and transmitting data in a form that only those it is intended for can read and process. It is considered a science of protecting information by…

(2007) have focused to develop an algorithm, for optimizing joint products further processing decision under the theory of constraints. The algorithm is made of seven steps which consider every bottleneck resource to the decision-making process by computing a priority ratio to establish its priority sequence. According to the priority sequence…

A swarm is a large number of homogenous, simple agents interacting locally among themselves, and their environment, with no central control to allow a global interesting behavior to emerge. Swarm-based algorithms have recently emerged as a family of nature-inspired, population-based algorithms that are capable of producing low cost, fast, and robust solutions to several complex problems. It is the discipline that deals with natural and artificial systems composed of many individuals that…