this paper addresses the problem of minimizing the sum of maximum earliness and tardiness on identical parallel machines scheduling problem. each job has a processing time and a due date. since this problem is trying to minimize and diminish the values of earliness and tardiness, the results can be useful for just–in-time production systems. it is shown that the problem is np-hard. using effici...

Linear inverse problems arise in diverse engineering fields especially signal and image reconstruction. The development of computational methods for linear with sparsity is one the recent trends this field. so-called optimal k-thresholding a newly introduced method sparse optimization problems. Compared to other sparsity-aware algorithms, advantage lies that it performs thresholding error metri...

This article addresses a single row facility layout problem where the objective is to optimize the arrangement of some rectangular facilities with different dimensions on a line. Regarding the NP-Hard nature of the considered problem, a hybrid meta-heuristic algorithm based on simulated annealing has been proposed to obtain a near optimal solution. A number of test problems are randomly generat...

A design problem of cross-docking distribution networks is addressed as a new research area in logistics management. This paper presents a new mathematical model for the location of cross-docking facilities and vehicle routing scheduling problems in distribution networks. For this purpose, a two-phase mixed-integer programming (MIP) is formulated. Then, a new heuristic-based simulated annealing...

Starting from 2002, Wonders Information Co., Ltd., a medium-sized software company located in Shanghai, China, started building a knowledge management system that attempted to facilitate knowledge sharing between its employees. This teaching case describes how the system was conceptualized, designed, built, and used. In doing so, we wish to provide a context for in-depth discussion on designing...

Rectangular automata are well suited for approximate modeling of continuous{discrete systems. The exact analysis of these automata is feasible for small examples but can encounter severe numerical problems for even medium-sized systems. This paper presents an analysis algorithm that uses conservative overapproximation to avoid these numerical problems. The algorithm is demonstrated on a simple ...

The objective of this paper is to determine the efficiency of manufacturing companies in Kenya over the period of 2009 to 2011 as well as suggesting appropriate policies to be employed by the manufacturing companies in Kenya based on the findings of the study. Three critical inputs variables (raw materials, staff expenses and plant and machinery) and two output variables (net sale and earnings ...