Information Gathering and Classification for Collaborative Logistics Decision Making

Chapter Number 1 Information Gathering and Classification for 2 Collaborative Logistics Decision Making 3

Assessment of Prospective Memory, Risky Decision-Making, Collaborative Decision-Making among Individuals with Morning and Evening Circadian Typology

Introduction: Biological aspects of personality have an influence on people psychological dimensions. The present study was aimed to compare prospective memory, risky decision-making, collaborative decision-making between individuals with morning and evening circadian typology. Methods: For this purpose, a study with quantitative methodology approach and a descriptive design was conceived. T...

Information Logistics for Supporting the Collaborative Design Process

For collaboration design we can distinguish between synchronous and asynchronous collaborative working. Both are important and complementary in AEC design. We focus on asynchronous collaborative working. It can be motivated that not separate tools but a complex system of concurrent engineering components linked together by an information logistic system are necessary to cope with the complexity...

Comprehensive Decision Modeling of Reverse Logistics System: A Multi-criteria Decision Making Model by using Hybrid Evidential Reasoning Approach and TOPSIS (TECHNICAL NOTE)

In the last two decades, product recovery systems have received increasing attention due to several reasons such as new governmental regulations and economic advantages. One of the most important activities of these systems is to assign returned products to suitable reverse manufacturing alternatives. Uncertainty of returned products in terms of quantity, quality, and time complicates the decis...

9. An intelligent agent-assisted logistics exception management decision support system: a design- science approach

With the increased complexity and uncertainty in business operations, adaptive and collaborative business processes and exception management (EM) are gaining growing attention. In the logistics industry, the current logistics exceptions are managed using human resources together with the traditional workflow technology-based supply-chain management or other logistics tools. The traditional work...