需求学习下考虑顾客策略行为的供应链决策

顾客策略行为对企业的经营绩效带来了巨大的负面影响, 本文基于供应链背景, 探讨需求学习应对顾客策略行为的作用与价值。构建了由单一制造商、单一零售商和一组顾客群组成的两周期分散式供应链系统的博弈模型, 将顾客划分为短视型和策略型两种类型。采用数理模型和数值分析, 研究了需求学习对于供应链的定价决策、订货决策及整体绩效的影响, 得到如下主要研究结论:第一, 无论面对何种类型的顾客, 零售商均偏好需求学习获取需求更新信息;第二, 面对短视顾客时, 制造商偏好于不获取更新信息, 而当顾客为策略型时, 制造商偏好于获取更新信息;第三, 需求学习有助于提高零售商和供应链系统的利润, 特别当面对策略型顾客时, 需求学习带来的利润增值更大。以上研究结论表明, 需求学习可以有效地缓解顾客策略行为的负面影响, 提高企业的运营绩效。     

Impact of competitive conditions on supplier evaluation: a construction supply chain case study

This research proposes a multi-criteria decision-making (MCDM) framework and demonstrates the impact of competitive conditions on supplier evaluation process for construction supply chains. The paper focuses on the supply chain of a large-scale housing project in order to illustrate the role of competitive capability and suppliers’ profile and its influence on supplier evaluation based on prevailing supply/market conditions. Various scenarios are investigated to demonstrate the impact of competition on supplier evaluation. The contribution of the study lies in highlighting the impact of supply/market conditions on MCDM decisions causing supplier evaluation ‘imbalance’ and MCDM usage. It is expected that the study will be useful for project management, construction, supply chain management, sourcing professionals. The findings of the study are generalisable to projects-based situations such as petroleum refinery and ship building where bill of materials typically consists of thousands of items and a large number of suppliers are involved.     

基于连续时间动态博弈的供应链声誉及其微分对策研究

着眼于企业及其供应链的可持续发展,纳入时间因素分析供应链协调问题.基于供应链视角考虑顾客价值开拓,并将其本质抽象为“供应链声誉”的构建过程.针对这一供应链动态协调问题,基于供应链成员企业之间的长期合作关系,在连续时间背景下采用变分法建立了供应链各方关于供应链声誉的微分对策模型,通过求解该模型发现在拟约束方程组有解时Nash均衡存在,并求出了相应的最优微分对策.这些理论研究结论阐明了长期的、稳定的合作关系对于实现供应链协调的意义,对于实践中供应链动态协调的实现具有一定的启发与参考价值.论文最后对相关结论进行了数值分析.     

Risk analysis of estimates for cost of quality in supply chain: a case study

Risk analysis for Cost of Quality (CoQ) in supply chain has not been adequately researched as evidenced in the literature. This paper attempts to analyse risk involved in estimating elements of CoQ in the internal supply chain of an integrated aluminium manufacturing company. We have applied grounded theory methodology on accounting codes of the case company primarily to bring out various elements of CoQ in its internal supply chain. They are categorized as ‘cost of prevention’, ‘cost of defective inputs’, ‘cost of defect in process’, and ‘cost of defect in output’. These elements are considered to be risky due to availability of partial information in past records of accounts while applying grounded theory methodology. In order to estimate the range and probabilities of all possible outcomes of various categories CoQ in the supply chain, Monte Carlo simulation has been used. The results have facilitated decision makers in strategic total quality management.     

Systemic approach to supply chain management through the viable system model and the theory of constraints

In today’s environment, Supply Chain Management (SCM) takes a key role in business strategy. A major challenge is achieving high customer service level under a reasonable operating expense and investment. The traditional approach to SCM, based on local optimisation, is a proven cause of meaningful inefficiencies – e.g. the Bullwhip Effect – that obstruct the throughput. The systemic (holistic) approach, based on global optimisation, has been shown to perform significantly better. Nevertheless, it is not widely expanded, since the implementation of an efficient solution requires a suitable scheme. Under these circumstances, this paper proposes an integrative framework for supply chain collaboration aimed at increasing its efficiency. This is based on the combined application of the Beer’s Viable System Model (VSM) and the Goldratt’s Theory of Constraints (TOC). VSM defines the systemic structure of the supply chain and orchestrates the collaboration, while TOC implements the systemic behaviour – i.e. integrate processes – and define performance measures. To support this proposal, we detail its application to the widely used Beer Game scenario. In addition, we discuss its implementation in real supply chains, highlighting the key points that must be considered.     

The Bullwhip Effect—Impact of Stochastic Lead Time,Information Quality,and Information Sharing: A Simulation Study

We use a simulation model called ‘SISCO’ to examine the effects in supply chains of stochastic lead times and of information sharing and quality of that information in a periodic order‐up‐to level inventory system. We test the accuracy of the simulation by verifying the results in Chen et al. (2000a) and Dejonckheere et al. (2004). We find that lead‐time variability exacerbates variance amplification in a supply chain, and that information sharing and information quality are highly significant. For example, using the assumptions in Chen et al. (2000a) and Dejonckheere et al. (2004), we find in a numerical experiment of a customer‐retailer‐wholesaler‐distributor‐factory supply chain that variance amplification is attenuated by nearly 50 percent at the factory due to information sharing. Other assumptions we make are based on interviews or conversations with managers at large supply chains.     

A decision support system for a third-party coordinator managing supply chain with demand uncertainty

Global supply chains reduce cost but increase lead times, complexities and uncertainties. Retailers in consumer products industry are getting shorter lead time to respond to market demand. To meet this challenge, many rely on third party supply chain managers (SCMs) for economically supplying required quantities of finished products quickly. However, due to shorter ‘time to market’, the SCM has to procure raw materials and start production process based on expected demand. Since SCM absorbs financial penalties associated with under- and over-estimation of demand from retailer, finding an optimal production lot size and product customisation strategy are essential to an SCM's operation. We develop a profit maximisation model and provide a close-form solution that allows an SCM to calculate optimal production lot size. The model is used to examine profitability of postponing product customisation. Finally, the effect of demand variation on SCM's profitability is explored.     

Green supply chain performance measurement using the analytic hierarchy process: a comparative analysis of manufacturing organisations

The main purpose of this research is to develop and deploy an analytical framework for measuring the environmental performance of manufacturing supply chains. This work's theoretical bases combine and reconcile three major areas: supply chain management, environmental management and performance measurement. Researchers have suggested many empirical criteria for green supply chain (GSC) performance measurement and proposed both qualitative and quantitative frameworks. However, these are mainly operational in nature and specific to the focal company. This research develops an innovative GSC performance measurement framework by integrating supply chain processes (supplier relationship management, internal supply chain management and customer relationship management) with organisational decision levels (both strategic and operational). Environmental planning, environmental auditing, management commitment, environmental performance, economic performance and operational performance are the key level constructs. The proposed framework is then applied to three selected manufacturing organisations in the UK. Their GSC performance is measured and benchmarked by using the analytic hierarchy process (AHP), a multiple-attribute decision-making technique. The AHP-based framework offers an effective way to measure and benchmark organisations’ GSC performance. This study has both theoretical and practical implications. Theoretically it contributes holistic constructs for designing a GSC and managing it for sustainability; and practically it helps industry practitioners to measure and improve the environmental performance of their supply chain.     

基于供应链收益共享契约的格子铺经营机制优化分析

格子铺经营模式已引起理论者和实践者广泛关注.针对格子铺经营模式的合作问题,在努力因素影响需求的市场环境里,基于供应链视角,通过建模与优化,分析了节点企业的决策特征与策略选择,讨论了收益共享机制对格子铺经营模式的影响,研究表明单纯的收益共享机制,无法实现格子铺经营模式的整体绩效最优(即由格主、铺主参与的供应链合作机制的协调),不能够改善格子铺合作；当对租金收取机制进行调整,使其为促销、广告投入的一定比例时,收益共享机制可以实现合作的协调,进而达到改善格子铺经营的目的.     

基于顾客策略行为和缺货损失的供应链定价与订购决策

顾客基于理性预期决定购买时机的策略行为造成供应链决策困难,影响到供应链利润。针对单生产商、单零售商组成、具有高支付意愿与低支付意愿两类顾客的供应链,利用均衡分析方法和理性预期理论建立了考虑缺货损失下高支付意愿顾客分别为策略型顾客与短视型顾客时供应链的分散式决策二层规划模型和集中式决策模型,对该四种模型进行了求解与对比分析、以及数值仿真和敏感性分析,算例表明了模型的合理性和结论的有效性。研究表明:高WTP顾客为策略型顾客时,集中式供应链与分散式供应链相比,其订货量高、但零售价低,故利润反而较低;高支付意愿顾客为策略型顾客时分散式供应链和集中式供应链的利润小于高支付意愿顾客为短视型顾客下的情形;四种供应链模式下的订货量随单位缺货损失的增加而增加,但供应链的利润降低。限量销售、回购剩余产品、提高顾客心目中的产品价值等策略可有效降低顾客策略行为对供应链的影响。本文将促进基于顾客策略行为的供应链理论研究与管理实践。     

Quick response and supply chain structure with strategic consumers

This work explores the impact of quick response on supply chain performance for various supply chain structures with strategic customer behavior. By investigating pricing and inventory decisions in decentralized supply chains under revenue-sharing contracts and in centralized supply chains, we study the performance of four various systems and compare the value of quick response in different supply chain structures. The results show that if the extra cost of quick response is relatively low, the value of quick response would be greater in centralized systems than in decentralized systems. On the other hand, if the extra cost is high, decentralized supply chains reap more incremental profits from adopting quick response. We also find that revenue-sharing contracts enable a decentralized supply chain to outperform a centralized supply chain, but only allow limited flexibility of allocating total profits between a manufacturer and a retailer.     

产品质量设计与供应链渠道优化——基于策略消费者行为的视角

策略消费者持币观望的行为对零售商和生产商的盈利都会产品负面影响，本文在二级供应链中同时考虑策略消费者的行为和产品质量设计，研究批发价格契约下策略消费者行为对供应链不同渠道利润的影响。分析表明，当生产商决定产品质量时，分散供应链下的产品质量与供应链上下游的议价能力相关，生产商议价能力越强，产品质量越高；当生产商完全掌握确定产品质量和批发价格的权利时，策略消费者的行为加剧了生产商和零售商之间利润分配的不公平，生产商能获得更大比例的利润；面对策略消费者时，厂商承诺产品数量有限能够实现比集中供应链下更高的利润，存在合适的产品质量和批发价格，使得分散供应链能实现数量承诺下的最优利润，并实现提升质量和增加供应链整体利润的双赢。     

考虑跨渠道退货的双渠道供应链最优策略

基于零售商线上线下销售与消费者退货并存的双渠道供应链,构建考虑退货的双渠道供应链定价模型以及考虑跨渠道退货策略的双渠道供应链定价决策模型。通过理论分析和数值实验对比,研究集中决策与分散决策下的零售商最优定价策略以及总利润的变化情况,同时分析在不同退货策略下顾客偏好以及退货率对零售商定价和收益的影响。结果表明：零售商渠道的最优价格设置与顾客对渠道的偏好成正比,与退货率成正比。当顾客对某一渠道偏好程度高时,分散决策下的利润要高于集中决策,并且随着该渠道退货率的提高,这种利润差距会进一步扩大,因此零售商应实施分散决策的渠道策略,鼓励线上线下两个渠道进行竞争,从而获得更大的收益。从仿真结果可以看出,对于一般的服装产品,提供跨渠道退货服务的零售商总利润更高,在一定条件下跨渠道服务水平的投入会增加零售商的收入,但这种投入应该控制在一个合理的水平上,并保持服务与顾客回报之间的正相关关系。     

The impact of supply chain management practices on competitive advantage and organizational performance

Effective supply chain management (SCM) has become a potentially valuable way of securing competitive advantage and improving organizational performance since competition is no longer between organizations, but among supply chains. This research conceptualizes and develops five dimensions of SCM practice (strategic supplier partnership, customer relationship, level of information sharing, quality of information sharing, and postponement) and tests the relationships between SCM practices, competitive advantage, and organizational performance. Data for the study were collected from 196 organizations and the relationships proposed in the framework were tested using structural equation modeling. The results indicate that higher levels of SCM practice can lead to enhanced competitive advantage and improved organizational performance. Also, competitive advantage can have a direct, positive impact on organizational performance.     

Eco-efficient supply chain networks: development of a design framework and application to a real case study

This paper presents a supply chain network design framework that is based on multi-objective mathematical programming and that can identify ‘eco-efficient’ configuration alternatives that are both efficient and ecologically sound. This work is original in that it encompasses the environmental impact of both transportation and warehousing activities. We apply the proposed framework to a real-life case study (i.e. Lindt & Sprüngli) for the distribution of chocolate products. The results show that cost-driven network optimisation may lead to beneficial effects for the environment and that a minor increase in distribution costs can be offset by a major improvement in environmental performance. This paper contributes to the body of knowledge on eco-efficient supply chain design and closes the missing link between model-based methods and empirical applied research. It also generates insights into the growing debate on the trade-off between the economic and environmental performance of supply chains, supporting organisations in the eco-efficient configuration of their supply chains.     

Conceptual framework for measuring carbon footprint in supply chains

Over the last few years, the fight against climate change has become one of the main topics of international debate. Hence, consumer behaviour has begun to change as they have started to assess the environmental impacts of the products and services they buy. Although various methods exist for measuring environmental (e.g. carbon) impacts, there is no international consensus about the most appropriate one. In addition, calculations can also be affected by limited data availability and uncertainty surrounding the value of key variables. This paper proposes a conceptual framework for measuring and analysing the carbon footprint in supply chains. This research contributes to the knowledge and practice of green supply chain management, at the corporate level, by providing robustness. This aids the decision-making process by identifying strategies in order to reach the efficiency that can be achieved by reducing CO₂ emission over the supply network. The framework is validated using real data from a supply chain belonging to the agro-industrial sector. Finally, these results and experience is generalised in order to show the difficulties and challenges in the measuring task.     

Supply chain scheduling optimisation in mass customisation based on dynamic profit preference and application case study

Traditionally, the ‘postponement strategy’ is a better way to solve the contradiction between ‘scale production effect’ and ‘customised demand level’ in mass customisation (MC). In higher customisation situation, the conflict between the role of postponement and the higher level of customised demand must be outstanding. When MC operates in supply chain, the excellent flexible characters of the supply chain system will create better conditions to solve the conflict from a new perspective, but the operating combination of MC and the supply chain with uncertain characters will lead to various complicated contradictions and bottlenecks. In this article, we discuss the supply chain scheduling optimisation in MC based on dynamic profit preference to solve these contradictions and bottlenecks, establish a special optimisation model to implement the scheduling. We make a computational industrial case study to illustrate the method application and show the benefits of solving the key contradiction in MC by the supply chain scheduling.     

Strategic Influences of Technological Innovation in Greece

This exploratory paper analyses the ‘importance’ and ‘awareness’ of a set of established ‘strategic’ influences of technological innovation in the context of a European newly‐industrialized country. The author interviewed 105 Greek manufacturing firms (mainly SMEs) and measured their perceived innovation rate as well as 17 ‘strategic’ factors regarding top‐management practices and characteristics. Using correlation and regression analysis the initial group of factors was reduced to a subset of five ‘major importance’ influences of innovation, namely: incorporation of technology plans in the business strategy, managerial attitude towards risk, perceived intensity of competition and rate of change of customer needs, and finally status of the CEO (owner‐CEOs were associated with higher innovation rate than appointed CEOs). The ‘statistical’ results are exploratory and have to be treated with caution, as they are highly dependent on the accuracy of the respondents' perception of their company's innovation rate and top‐management practices and characteristics. The ‘statistical’ results were then compared with the managers' perception on the important factors determining innovation (also measured during the interviews). Overall the perceptual analysis confirmed the significance of the statistically important variables, with the exception of a disagreement in the direction of association between the status of the CEO and the rate of innovation. In general, top‐management characteristics proved more important ‘strategic’ influences of innovation for the Greek SMEs than corporate practices. The study also indicated that the important influences of innovation were generally scarce in the Greek institutional context. The highly innovative companies were the ones to overcome country‐specific innovation barriers such as the low supply of technology, the low level of competition and the risk‐averse national culture.     

考虑渠道权利结构的产品服务能力竞争机制研究——制造商服务视角

本文针对两个制造商和一个零售商构成的产品服务供应链,以制造商提供服务为视角,研究了产品服务能力竞争问题。运用Stackelberg动态博弈,分别从制造商Stackelberg、零售商Stackelberg和垂直纳什三种不同权利结构情形,求解了供应链成员企业的均衡策略。通过分析服务成本与不同渠道权利结构下均衡结果之间的变化关系,提出能够满足不同客户需求特征的产品服务能力竞争策略。结果表明,当价格与服务能力水平都比较低时,RS价格领先型策略能够满足实惠型客户需求;当服务能力水平比较高时,VN服务领先型策略能够满足经济型客户需求;当价格比较高时,MS产品领先型策略能够满足专业型客户需求;当价格与服务能力水平都比较高时,产品服务融合策略能够满足品质型客户需求。最后,结合批发价格、服务能力水平、零售价格与服务成本之间的数值变化关系,分析了产品服务能力竞争策略的有效性。     

服务供应链管理、顾客满意与企业绩效

本研究构建了服务供应链管理活动同顾客满意及企业绩效间的结构方程模型,并以来自中国民航服务业的数据进行了实证分析。结果显示服务企业的领导力不仅对服务供应链的战略管理和运作管理活动有正影响效应,还对企业服务信息系统的构建有积极影响;企业文化对企业战略层面的服务供应链管理计划、协作关系的构建、整合服务资源等服务供应链战略管理活动有显著影响;服务供应链战略管理活动、运作管理活动和顾客信息系统的构建通过有效提升顾客满意感、可以增加企业绩效。