this paper describes two data analysis techniques adopted in a decision support system (dss), decline curve estimation and artificial neural network (ann) approaches, which aid users in predicting oil production of a field. the system generates different predictions, according to scenario, chosen for prediction. these two approaches show that to explain production of a field, ann method shows b...

This vehicle routing problem involves finding a set of trips, one for each vehicle and to pick up known quantities of perishable goods from a set of geographically dispersed suppliers to the cargo terminal of an international airport in south India. The pickup time is based on the deterministic departure time of the flights. The objective of this Vehicle routing problem with Pickup and Delivery...

The rapidly growing biofuel industry poses considerable challenges to its supply chain network design and operations. In this chapter, we introduce key characteristics of the biofuel supply chain that comprises of feedstock production, biomass logistics, biofuel production and distribution. We then discuss the recent literature on biofuel supply chain models. Using an illustrative biofuel suppl...

Spare parts are held as inventory to support product maintenance in order reduce downtime and extend the lifetime of products. Recently, spare management has been attracting more attention due “right-to-repair” movement which requires that manufacturers provide sufficient throughout life-cyle their products waste so achieve sustainability. In this review, 148 papers regarding published from 201...

Due to the emergence of e-commerce and the proliferation of liberal return policies, product returns have become daily routines for many companies. Considering the significant impact of product returns on the company’s bottom line, a growing number of companies have attempted to streamline the reverse logistics process. Products are usually returned to initial collection points (ICPs) in small ...

The interest about recovery of used products andmaterials have been increased. Therefore, reverse logistics network problem (rLNP) will be powerful and get a great potential for winning consumers in a more competitive context in the future. We formulate amathematical model of remanufacturing system as three-stage logistics networkmodel for minimizing the total of costs to reverse logistics ship...

and submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY (Mechanical Engineering) complies with the regulations of the University and meets the accepted standards with respect to originality and quality. Many manufacturers are moving towards green manufacturing. One of the actions for environment friendly manufacturing is collection of end-of-life products...

Food supply chains are nowadays perturbed by an increased and demand uncertainty, more suffering from unexpected disruptions. In the specific context of food (FSC) for perishable products, these could be linked to natural hazards, industrial accidents or epidemics their impact lead huge economic losses. The case epidemic events has been little studied in existing literature, although there nume...

The optimization of production logistics system is an important way to improve enterprise’s productivity, cut down cost and improve equipment’s utilization. Production logistics system is highly randomized, complicated and discrete system, which can hardly be modeled and analyzed in the traditional way, so computer simulation technology and eM-Plant simulation platform were introduced in the pa...