Agent-based simulation of competitive and collaborative mechanisms for mobile service chains

Jiang, Guoyin; Hu, Bin; Wang, Youtian

doi:10.1016/j.ins.2009.09.014

Cited by 50 publications

(17 citation statements)

References 43 publications

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“…Dedrick et al (2011) analysed the distribution of value in the MPSC based on product-level data, and found that carriers and handset makers captured the most profit from each handset. Among the studies using quantitative approaches, Jiang et al (2010) proposed an agent-based simulation approach to study the competitive and collaborative mechanisms for mobile service chains. Cricell et al (2011) examined the competition among mobile network operators in the telecommunication supply chain focusing on different value chain components, the resulting competitive advantages and the appropriate value strategies.…”

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confidence: 99%

Channel coordination through subsidy contract design in the mobile phone industry

Chen

Wang

Chan

2016

International Journal of Production Economics

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms Abstracts: This paper examines the feasibility of employing subsidy contracts as a control mechanism to optimise the mobile phone sales channel. We investigate a dual-channel that consists of a telecommunication service operator (TSO) and a mobile phone manufacturer (MPM). The MPM's optimal production quantity and optimal retail price and the TSO's optimal service capacity and optimal service price are derived in both the decentralised and centralised MPSC models. The modelling results show that the coordinated MPSC leads to profit increase for the MPSC as a whole. More importantly, our analysis demonstrates that a properly designed subsidy contract can achieve the channel coordination in the MPSC.However, such channel coordination through subsidy contract is subject to certain conditions in which Pareto improvement can be achieved.

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confidence: 99%

Channel coordination through subsidy contract design in the mobile phone industry

Chen

Wang

Chan

2016

International Journal of Production Economics

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“…Ese enfoque optimizó las necesidades de recursos del sistema. En [36] se propuso un sistema con agentes que integran un algoritmo evolutivo. Los resultados obtenidos permitieron a los tomadores de decisiones elegir la mejor opción.…”

Section: Implementación Y Resultados De Agentes Inteligentesunclassified

“…En [35] se presenta un modelo de agentes en el que pueden realizar acciones de control correctivas para reducir al mínimo el efecto de las desviaciones en el plan que se está ejecutando. En [36] el enfoque propuesto se basa en un sistema multi-agente que busca un beneficio óptimo y modelos de colaboración entre entidades de la industria de servicios móviles como proveedores de servicios de acceso a portal, proveedores de servicios de producto y el proveedor de servicios móviles. En [37] los agentes fueron utilizados para mejorar el rendimiento en la planificación de la producción en una SC mediante la flexibilidad y adaptabilidad en cantidad y fecha de entrega de insumos considerando el efecto de la incertidumbre en la demanda de los clientes y la capacidad de proveedores.…”

Section: Procesos Scor Y Agentes Inteligentesunclassified

Aplicaciones de inteligencia artificial en procesos de cadenas de suministros: una revisión sistemática

Ahumada

2016

Ingeniare. Rev. chil. ing.

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RESUMENUna cadena de suministro (SC) es una red de empresas que producen, venden y entregan un producto o servicio a un segmento de mercado predeterminado. No solo incluye a los fabricantes y proveedores, sino que también a transportistas, almacenes, minoristas y los propios clientes, entre otros. Debido al avance tecnológico, específicamente en áreas como las comunicaciones, procesamiento computacional, gestión y almacenamiento de información, es posible apoyar a la administración de cadenas de suministros pudiendo hacerla mas eficiente. En este contexto, la inteligencia artificial (IA) ha sido aplicada en diferentes procesos de SC pero no hay conocimiento especifico sobre cuáles técnicas de IA están siendo aplicadas (o no) en los procesos de la SC o cuáles actividades de la SC están siendo apoyadas (o no) con técnicas de IA. Con base a lo anterior, el objetivo de este trabajo fue establecer de forma empírica el aporte de la IA en procesos de la SC, para luego establecer actividades de investigación a realizarse en el futuro. Para lograr esto, se realizó una revisión sistemática considerando el modelo SCOR como referencia para procesos de una SC. Los principales resultados indican que los algoritmos genéticos y los agentes inteligentes son las técnicas más investigadas para procesos de la SC relacionados con la planificación y, en menor medida, a procesos relacionados con la entrega de productos. Además, existe una tendencia a incluir la incertidumbre como trabajo futuro en diferentes técnicas de IA de manera que los modelos se acerquen más a la realidad.Palabras clave: Inteligencia artificial, modelo SCOR, revisión sistemática, cadena de suministros. ABSTRACT A supply chain (SC) is a network of companies that produce

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“…Another hypothesis at the base of our model is that this technology is adopted in the proposed centralised coordination mechanisms. This choice is due to the will of the authors to reinforce the collaboration concepts between all the actors of the SC that can lead an increase in each player's profit in the SC (Jiang et al, 2010).…”

Section: Investigating Scs Trends In Literature Referencesmentioning

confidence: 99%

The role of uncertainty in supply chains under dynamic modeling

Fera¹,

Fruggiero²,

Lambiase³

et al. 2017

10.5267/j.ijiec

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The uncertainty in the supply chains (SCs) for manufacturing and services firms is going to be, over the coming decades, more important for the companies that are called to compete in a new globalized economy. Risky situations for manufacturing are considered in trying to individuate the optimal positioning of the order penetration point (OPP). It aims at defining the best level of information of the client's order going back through the several supply chain (SC) phases, i.e. engineering, procurement, production and distribution. This work aims at defining a system dynamics model to assess competitiveness coming from the positioning of the order in different SC locations. A Taguchi analysis has been implemented to create a decision map for identifying possible strategic decisions under different scenarios and with alternatives for order location in the SC levels. Centralized and decentralized strategies for SC integration are discussed. In the model proposed, the location of OPP is influenced by the demand variation, production time, stock-outs and stock amount. Results of this research are as follows: (i) customer-oriented strategies are preferable under high volatility of demand, (ii) production-focused strategies are suggested when the probability of stock-outs is high, (iii) no specific location is preferable if a centralized control architecture is implemented, (iv) centralization requires cooperation among partners to achieve the SC optimum point, (v) the producer must not prefer the OPP location at the Retailer level when the general strategy is focused on a decentralized approach.

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Agent-based simulation of competitive and collaborative mechanisms for mobile service chains

Cited by 50 publications

References 43 publications

Channel coordination through subsidy contract design in the mobile phone industry

Channel coordination through subsidy contract design in the mobile phone industry

Aplicaciones de inteligencia artificial en procesos de cadenas de suministros: una revisión sistemática

The role of uncertainty in supply chains under dynamic modeling

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