Int. J Sup. Chain. Mgt Vol. 8, No. 2, April 2019 468 Proposal Decision Support Process for Urban Goods Delivery ATIK EL FTOUH Mouna #1 , AZMANI Abdellah *2 , FOURKA Mohamed #3 # Research team in Engineering, Innovation and Management of Industrial System, Faculty of Science and Technology Boukhalef Road, Tangier, Morocco mouna.ftouh@gmail.com mfourka@hotmail.com * Laboratory of Computer Sciences and Telecommunications (LIST), Faculty of Science and Technology Boukhalef Road, Tangier, Morocco abdellah.azmani@gmail.com Abstract— This paper proposes a collaborative process to handle demands received by a carrier for urban goods’ delivery. The purpose of this article is to provide support for carriers analyzing the demands, physical resources, human resources, risks and profitability, in order to decide processing internally or externally a goods’ delivery demand or rejecting it. Such a process, called CUFP (Collaborative Urban Freight Process), is based on an analysis of urban movements of goods, divided into four stages: check out of extreme conditions, feasibility study, exploitation study and execution. Keywords- Logistics and Urban Transportation, Urban Freight Delivery, Collaborative Delivery of Goods, Decision Support Process, Collaborative Urban Freight Process. 1. Introduction The evolution of information and communication technologies (ICT) has made the possibility to use new methods of collaboration between carriers, based mainly on the sharing of information. Without a minimum of logistical coordination, the urban space can quickly become congested, even saturated, generating pollution of such intensity that they eventually make unbearable residents' lives [1]. The development of ICT, including e-commerce reinforces the challenges of urban deliveries, because of its different modes: home delivery, delivery to Internet kiosks, shop delivery [2]. Urban deliveries, lead to the arrival of a multitude of small transport vehicles. Therefore, modeling and decision support systems for the management of urban deliveries have been developed and have given rise to many publications, i.e. which will be detailed later in this paper. In this article, we propose a Collaborative Urban Freight Process (CFUP) conception, for carriers, helping to improve the management of urban goods deliveries demands. Such a process is intended to help the carrier to choose between processing a demand internally (on its own resources), externally (by another carrier in the collaborative network), or rejecting it. To this end, we have grouped and classified all the parameters that contribute to the analysis of goods urban delivery demands. This paper begins with a state of the art of existing tools and models for modeling urban goods movements, followed by an activity diagram that illustrates the proposed decision support process’ principle. This is detailed later to highlight all parameters involved in the development of an effective decision. Finally, the paper ends with a conclusion the possible extensions and perspectives of the exposed word in this article. 2. State of art In the literature, several evaluation measures of urban movements’ modeling systems are proposed [3]:  Function of the model: urban goods movements models have several functions and goals, o Demand estimation: these models are related to forecasting urban goods demands [4], o Optimization: the function of these category of models is the routing optimization [5], related to Vehicle Routing Problems. o Simulation of actors' behavior: the function of these models is to simulate the behavior of the involved stakeholders [6].  Modeling approaches: o Top-down: which is based on the choice of large scale variables, then conveyed to smaller scale, and using a predefined model such as the four step model [3], [5], [7] and [8]. o Bottom-up: this approach is affected by the amount and quality of information available, and it is related to the analysis of data collected [9], [4], and [6]. o Modeling units: such as trip, commodity delivery, movements, round or mixed models that have more than one unit. ______________________________________________________________ International Journal of Supply Chain Management IJSCM, ISSN: 2050-7399 (Online), 2051-3771 (Print) Copyright © ExcelingTech Pub, UK (http: //excelingtech. co. uk/) CORE Metadata, citation and similar papers at core.ac.uk Provided by ExcelingTech Publishing Company (E-Journals)