Recent trends in distributed production network scheduling problem

2021 ◽  
Author(s):  
N. Bagheri Rad ◽  
J. Behnamian
Keyword(s):  
Scheduling Problem ◽  
Production Network ◽  
Network Scheduling ◽  
Recent Trends ◽  
Distributed Production

You're in My World Now. Ownership and Access in the Proprietary Community of an MMOG

2011 ◽  
pp. 2058-2073 ◽  
Author(s):  
Sal Humphreys
Keyword(s):  
Intellectual Property ◽  
Economic Benefit ◽  
Online Games ◽  
Property Management ◽  
Production Network ◽  
Multiplayer Online Games ◽  
Social Nature ◽  
Intellectual Property Management ◽  
Distributed Production

This chapter considers how the interactive and social nature of massively multiplayer online games (MMOGs) presents challenges to systems of organisation, control, and regulation used for more conventional media products. It examines how the interactive structures of games cast players as producers of content, not merely consumers. This productive role creates a distributed production network that challenges the ideas of authorship which underpin copyright and intellectual property. The role of the publishers is shown to encompass community as well as intellectual property management. The communities generated within these games are a key source of economic benefit to the publishers. The contract that determines the conditions of access and the forms of governance inside proprietary worlds is considered in light of this newly intensified relationship between commerce and community. Questions are raised about the accountability of publishers, the role of the market, and the state in determining conditions of access.

You're in My World Now

2008 ◽  
pp. 2357-2371
Author(s):  
Sal Humphreys
Keyword(s):  
Intellectual Property ◽  
Economic Benefit ◽  
Online Games ◽  
Property Management ◽  
Production Network ◽  
Multiplayer Online Games ◽  
Social Nature ◽  
Intellectual Property Management ◽  
Distributed Production

This chapter considers how the interactive and social nature of massively multiplayer online games (MMOGs) presents challenges to systems of organisation, control, and regulation used for more conventional media products. It examines how the interactive structures of games cast players as producers of content, not merely consumers. This productive role creates a distributed production network that challenges the ideas of authorship which underpin copyright and intellectual property. The role of the publishers is shown to encompass community as well as intellectual property management. The communities generated within these games are a key source of economic benefit to the publishers. The contract that determines the conditions of access and the forms of governance inside proprietary worlds is considered in light of this newly intensified relationship between commerce and community. Questions are raised about the accountability of publishers, the role of the market, and the state in determining conditions of access.

scholarly journals Multi-objective multi-factory scheduling

2020 ◽  
Author(s):  
J. Behnamian ◽  
S.M.T. Fatemi Ghomi
Keyword(s):  
Heuristic Algorithm ◽  
Parallel Machines ◽  
Mixed Integer ◽  
Test Problems ◽  
Scheduling Problem ◽  
Production Network ◽  
Mixed Integer Linear Program ◽  
Multi Objective ◽  
Transportation Times ◽  
Factory Scheduling

This paper introducesa multi-factory scheduling problem with heterogeneous factories and parallel machines. This problem, as a major part of supply chain planning, includes the finding of suitable factory for each job and the scheduling of the assigned jobs at each factory, simultaneously. For the first time, this paper studies multi-objective scheduling in the production network in which each factory has its customers and demands can be satisfied by itself or other factories. In other words, this paper assumes that jobs can transfer from the overloaded machine in the origin factory to the factory which has fewer workloads by imposing some transportation times. For simultaneous minimization of the sum of the earliness and tardiness of jobs and total completion time, after modeling the scheduling problem as a mixed-integer linear program, the existing multi-objective techniques are analyzed and a new one is applied to our problem. Since this problem is NP-hard, a heuristic algorithm is also proposed to generate a set of Pareto optimal solutions. Also, the algorithms are proposed to improve and cover the Pareto front. Computational experiences of the heuristic algorithm and the output of the model implemented by CPLEX over a set of randomly generated test problems are reported.

Bus Network Scheduling Problem: GRASP + EAs with PISA * Simulation

2009 ◽  
pp. 1272-1279 ◽  
Author(s):  
Ana C. Olivera ◽  
Mariano Frutos ◽  
Jessica A. Carballido ◽  
Ignacio Ponzoni ◽  
Nélida B. Brignole
Keyword(s):  
Scheduling Problem ◽  
Network Scheduling ◽  
Bus Network

Distributed Production Planning Models in Production Networks

2013 ◽  
pp. 175-199
Author(s):  
Paolo Renna
Keyword(s):  
Production Planning ◽  
Global Market ◽  
Production Network ◽  
Production Networks ◽  
Agent Architecture ◽  
Multiple Production ◽  
Coordination Strategies ◽  
Planning Models ◽  
Multi Agent ◽  
Distributed Production

Production networks can be dynamically structured and involving multiple production sites with different objectives. This organizational structure is able to match agility and efficiency to compete in the global market. In this environment is impossible for a single organization to control whole production networks; thus, a decentralized approach has been developed to manage the production networks. However, the coordinate mechanism in decentralized control is more important to obtain a high level of performance. The research proposes innovative coordination strategies for coordinate production networks by Multi Agent Architecture. A link between negotiation strategies and a production planning algorithm has been developed in order to support the coordination strategies proposed. In particular, two protocols to reach an agreement between customer and the production network have been proposed: negotiation and an expected profit approaches. Moreover, two coordination strategies have been proposed: index efficiency and ranking price approaches. Finally, the possibility of divide the orders in lots by the customer is proposed. A simulation environment based on open source code and Multi Agent Architecture has been developed to test the proposed approaches. The experiments have been conducted in different conditions of workload and mar-up; the results of the simulation provide the information necessary to select the suitable coordination and protocol mechanisms in a distributed production planning problem.

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