Statistics for Spatial Data.

https://www.bauer.uh.edu/gardner/docs/pdf/Exponential-Smoothing.pdf

Exponential smoothing: the state of the art, part ii

The emerging paradigm of agent-based computation has revolutionized the building of intelligent and decentralized systems. The new technologies met well the requirements in all domains of manufacturing where problems of uncertainty and temporal dynamics, information sharing and distributed operation, or coordination and cooperation of autonomous entities had to be tackled. In the paper software agents and multi-agent systems are introduced and through a comprehensive survey, their potential manufacturing applications are outlined. Special emphasis is laid on methodological issues and deployed industrial systems. After discussing open issues and strategic research directions, we conclude that the evolution of agent technologies and manufacturing will probably proceed hand in hand. The former can receive real challenges from the latter, which, in turn, will have more and more benefits in applying agent technologies, presumably together with well-established or emerging approaches of other disciplines.

/pdf/agent-based-systems-for-manufacturing-xij8ryuzc7.pdf

Agent-based systems for manufacturing

http://ntur.lib.ntu.edu.tw/bitstream/246246/87034/1/07.pdf

Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices

Process industry supply chains : Advances and challenges

Agent-based information flow for process industries' supply chain modelling

Modern chemical production is customer-driven and the desired delivery time for the products is often shorter than their campaign length. In addition, the raw materials supplying time is often long. These features make it desirable to provide tools to support collaborative supply chain decision making, preferably over the Internet, and where there are conflicts, compromise decisions can be quickly reached and the effects of the decisions can be quantitatively simulated. This paper des cribes such a multi-agent system (MAS) that can be used to simulate the dynamic behaviour and support the management of chemical supply chains over the Internet. Geographically distributed retailers, logistics, warehouses, plants and raw material suppliers are modelled as an open and re-configurable network of co-operative agents, each performing one or more supply chain functions. Communication between agents is made through the common agent communication language KQML (knowledge query message language). A t the simulation layer, the MAS allows distributed simulation of the chain behaviour dynamically, so that compromise decisions can be rapidly and quantitatively evaluated. Because in a chemical supply chain the scheduling of the plant often dominates the chain performance, an optimum scheduling system for batch plants is integrated into the MAS. The functions of the system are illustrated by reference to a case study for the supply and manufacture using a multi-purpose batch plant of paints and coatings.

A multi-agent system for chemical supply chain simulation and management support

The impact of inventory management on economic and environmental sustainability in the apple industry

This article aims to present a comprehensive and structured review on recent studies in the field of agribusiness planning models, aiming to optimize agri-fresh food supply chain, with a focus on loss minimization in the fruits and vegetables supply chains. The studies are classified according to six research streams, namely modeling approaches, functional area (decision variables), objective functions, solution approaches, product type/country, and case study. From the literature, it is concluded that the importance of food loss minimization is increasing. However, in most of the reviewed papers, food loss minimization is considered as a secondary scope with the main scope of cost decrease or profit increase. This article shows directions and opportunities to researchers and practitioners trying to identify the existing state of the art, gaps in current research, and future studies on the topic.

Planning Models to Optimize the Agri-Fresh Food Supply Chain for Loss Minimization: A Review

Food distribution is just as important as its production and processing and is becoming more important by the day. The driving factors are a growing population, scarcer resources, increasing attention to food security, and changing dietary habits. To address these challenges, food logistics has evolved from applying general supply chain management methodologies to addressing specific problems of the food industry, such as sustainability, safety, and perishability, to considering the impact of food supply systems on the triple bottom line of economic, environmental, and social indicators. This chapter reports on the aspects of food logistics that have been of concern to managers, giving priority to quantitative optimization approaches. It also presents a case study of the logistics of a Brazilian dairy supply chain.

Rodolfo García-Flores

Papers

Agent-based information flow for process industries' supply chain modelling

A multi-agent system for chemical supply chain simulation and management support

The impact of inventory management on economic and environmental sustainability in the apple industry

Planning Models to Optimize the Agri-Fresh Food Supply Chain for Loss Minimization: A Review

Using logistic models to optimize the food supply chain