Naoufel Cheikhrouhou

An integrated decision support system for berth and ship unloader allocation in bulk material handling port

The decisions pertaining to berth allocation and ship unloader operations at bulk material import terminal are described.Our models integrate the major port operations and minimize the various delays.A practice-oriented decision support model is proposed.This model assists port planners in making informed decision.The utility of the developed model is demonstrated using an illustrative scenario. Berth allocation and material handling problems in ports are generally solved independently. This article provides a framework for aligning allocation decisions of berth and ship un-loader in an integrative manner. The ultimate goal of these decisions is to minimize the waiting time, operating time and ships priority deviation. As the sojourn time of a ship in port is costly, and given the scale and the complexity of the problem, a Decision Support System (DSS) is developed for the port authority. Two different approaches have been considered in this paper: (1) Solving the problem sequentially by decomposing the problem into two sub-problems- the berth allocation and the dynamic allocation of ship un-loaders in different berths (2) solving the problem by integrating berth allocation and dynamic allocation problem. Controlled Elitist Non-dominated Sorting Genetic Algorithm and Chemical Reaction Optimization are proposed in designing the DSS. Computational experiments are conducted on information provided from an Indian port. Results show that integrating berth and ship un-loader allocation achieves significant cost savings by considerably reducing the ship sojourn time in port.

Review of Full Truckload Transportation Service Procurement

Abstract This study was conducted to review the literature on full truckload (FTL) transportation service procurement and to identify the gaps from the perspectives of researchers and practitioners. FTL procurement in particular was reviewed because it is encountered more than others forms of procurement in freight movement, and it involves numerous challenges. A framework was developed to provide a systematic review of the literature, the findings of which are discussed in detail. Some key findings include the simplistic assumption of demand patterns, limited focus on non-price variables, a limited number of case studies, less consideration of sustainability aspects, and a lack of detailed studies on emerging economies.

The robust quay crane allocation for a discrete bulk material handling port

This study investigates the quay crane allocation problem with respect to vessel assigned to a particular discrete berth at a bulk material handling port. In the proposed model,vessels at the anchorage are berthed on a First in, first out (FIFO) basis at the port, and then the quay cranes are assigned to the berth dynamically before berthing and during unloading of the vessel. To solve the model, we used the Block Based Genetic Algorithm (BBGA) and Genetic Algorithm (GA). Computational study is conducted using the real data provided by a port located on theEastern Coast of India.