In the recent era, the rapidly increasing trend of e-commerce business creates opportunities for logistics service providers to grow globally. With this growth, the concern regarding the implementation of sustainability in logistic networks has received attention in recent years. Thus, in this...

Manufacturing strategy research aims at providing a structured decision-making approach to improve the economics of manufacturing and to make companies more competitive. The overall objective of this paper is to investigate how manufacturing companies make use of different manufacturing...

Purpose: The primary objective of this paper is to show how mathematical modeling can be used for solving a third party logistics (3PL) allocation problem.Design/methodology/approach: The solution approach consists of finding a compromise solution for the six different strategies, defined in the...

The new challenges of Agile Manufacturing system led to study of computational cooperative problem solving models. The goal is to develop appropriate computational approaches to support adaptive, cost-effective responsiveness. In particular, the challenging problem of job shop scheduling, this...

This paper extends Boyle and Guthrie (2003) to investigate the interdependent effects of asymmetric financing capacities and investment costs on investment timing decisions in a duopoly with a first-mover advantage. We demonstrate several novel findings. First, suffering a significant cost...

In this paper, we have studied the links between (the timing of) innovation policies and abatement policies under different assumptions of innovation policies such as the possibilities to use patent life time as a policy instrument. We study the timing and interdependence between optimal...

The generation of huge data with high velocity creates alteration in the distribution of the stream data, which is defined as the concept of drifts. The concept drifts negatively influence the classification accuracy and the stability of the data streams. Numerous machine learning-based models...