Contingency Management Strategies of NPD Project Based on Complexity and Cost

doi:10.12005/orms.2016.0036

Operations Research and Management Science ›› 2016, Vol. 25 ›› Issue (1): 282-287.DOI: 10.12005/orms.2016.0036

• Management Science • Previous Articles

Contingency Management Strategies of NPD Project Based on Complexity and Cost

LIU Xiao-guang^1,2, YANG Nai-ding²

1.College of Economics & Management, Taiyuan University of Technology, Taiyuan 030024 China;
2.School of Management, Northwestern Polytechnical University, Xi’an 710129, China

Received:2011-10-11 Online:2016-02-25

基于复杂性和成本的NPD项目权变管理策略研究

刘效广^1,2, 杨乃定²

1. 太原理工大学经济管理学院,山西太原 030024;
2.西北工业大学管理学院,陕西西安 710072

作者简介:刘效广(1981-),男,山西定襄人,博士,讲师,研究方向为组织理论、项目管理;杨乃定(1964-),男,陕西户县人,博士,教授,博士生导师,研究方向为项目管理和风险管理。
基金资助:
国家自然科学基金资助项目(70972126);高等学校博士学科点专项科研基金(20106102110042)

Abstract

Abstract: On the basis of integrated model of selectionsm and learning of project management, we propose that, parallel solutions and intensive learning strategies can help NPD project response to complexity. The papes makes a theosetical analysio of how to decide the number of parallel solutions and intensity of learning, based on criterion of efficiency, and proposes complexity and cost as main contingency variables. Then we made a simulation based on NK model, and explore the relationship between project performance and the two strategies in different situations.

Key words: R&, D project, complexity, cost, management strategies

摘要： 本文在项目管理的选择法和学习法的组合模式的基础上,提出同时采用多方案并行和强化学习两种管理策略能有效应对NPD项目的复杂性。在如何决定并行数量和学习强度的问题上,基于效率准则进行了理论分析,提出了主要的权变变量,即复杂性和成本。并基于NK模型进行了仿真模拟,探讨了不同情境下,项目绩效随两种管理策略的变化规律。

关键词: NPD项目, 复杂性, 成本, 管理策略

CLC Number:

F405

LIU Xiao-guang, YANG Nai-ding. Contingency Management Strategies of NPD Project Based on Complexity and Cost[J]. Operations Research and Management Science, 2016, 25(1): 282-287.

刘效广, 杨乃定. 基于复杂性和成本的NPD项目权变管理策略研究[J]. 运筹与管理, 2016, 25(1): 282-287.

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Contingency Management Strategies of NPD Project Based on Complexity and Cost

基于复杂性和成本的NPD项目权变管理策略研究

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