Capacity rationing in rental systems with two customer classes and batch arrivals

Service differentiation is an emerging method to improve profit and to better serve high-priority customers. Such an approach has recently been introduced by one of Europe's leading rail cargo companies. Under this approach, customers can choose between classic and premium services. Premium service is priced above classic service and premium customers receive a service guarantee which classic customers do not receive. The company has to decide under which conditions it should ration its fleet capacity to classic customers in order to increase service of premium customers. We model such a situation as a batch-arrival queuing loss system. We describe the model, solve it optimally, and derive quantities of interest such as service probabilities. We further analyze it by performing numerical experiments based on the data from the company that motivated our research. We show that the potential of capacity rationing can be substantial in situations like the one we analyzed. We also derive conditions under which rationing is especially beneficial, such as under high unit fleet holding costs or in the presence of batch arrivals compared to single arrivals.     

基于外部比较下的服务补救后顾客行为意向的探讨

本研究探讨了同一顾客在一家企业经历了服务失败和服务补救后与在另外一家企业从未遭遇过服务失败的比较下其行为意向,为服务补救的研究提供了新的视角。本研究考察了顾客归因对服务补救预期的影响,验证了顾客的补救预期越高则其满意度越低,满意度越高则其行为意向越积极,证明了顾客的行为意向不仅受到满意度的影响还受到顾客感知的服务失败严重程度的影响。     

MODELING CUSTOMER SATISFACTION IN TELECOMMUNICATIONS: ASSESSING THE EFFECTS OF MULTIPLE TRANSACTION POINTS ON THE PERCEIVED OVERALL PERFORMANCE OF THE PROVIDER

The ability of telecommunication operators to focus successfully on the customer has proven to be one of the most competitive issues toward the end of the 20th century. The services management literature is short of theoretical and empirical studies on customer satisfaction measurement in the telecommunications industry. This, however, is contrary to the industry practice since almost all major telecommunications companies around the world gather information about customer satisfaction and other related information about the quality of their services. Our research focuses on the customer satisfaction function of residential customers of a major European telecommunications company. Customer satisfaction is seen as the overall performance of the telecommunications company stemming from adequate service provision, value for money, loyalty, and relationship management. The antecedents of the performance of the organization are obtained from the contact points between the customers and the service points of the telecommunications company.     

Pareto‐Improving Contracts for Express Package Delivery Services

We address the problem of an express package delivery company in structuring a long‐term customer contract whose terms may include prices that differ by day‐of‐week and by speed‐of‐service. The company traditionally offered speed‐of‐service pricing to its customers, but without day‐of‐week differentiation, resulting in customer demands with considerable day‐of‐week seasonality. The package delivery company hoped that using day‐of‐week and speed‐of‐service price differentiation for contract customers would induce these customers to adjust their demands to become counter‐cyclical to the non‐contract demand. Although this usually cannot be achieved by pricing alone, we devise an approach that utilizes day‐of‐week and speed‐of‐service pricing as an element of a Pareto‐improving contract. The contract provides the lowest‐cost arrangement for the package delivery company while ensuring that the customer is at least as well off as he would have been under the existing pricing structure. The contract pricing smoothes the package delivery company's demand and reduces peak requirements for transport capacity. The latter helps to decrease capital costs, which may allow a further price reduction for the customer. We formulate the pricing problem as a biconvex optimization model, and present a methodology for designing the contract and numerical examples that illustrate the achievable savings.     

不同市场准入标准下基于服务竞争的零售商竞合策略选择

在具有不同准入标准的管制市场与自由市场中,服务是影响需求一个非常重要的因素。为了降低服务运作成本,零售商进行了服务提供模式的创新。分别在管制市场与自由市场环境下,建立了基于服务竞争的零售商竞合策略选择模型。研究发现：在管制市场中,与独立提供服务相比,合作建立场地提供服务时零售商的利润会增加,但是,服务水平保持不变;与此同时,零售商参与非盈利的第三方统一服务平台所提供的服务水平最低,但利润最高。在自由市场中,选择合作提供服务模式的零售商比选择独立提供服务的零售商多,但选择参与非盈利的第三方统一服务平台提供服务的零售商数量最多。在自由市场环境中,当服务设施的固定成本较小时,则统一服务平台模式中零售商提供的服务水平最高;但是,当服务设施的固定成本较大时,则合作提供服务模式中零售商提供的服务水平最高。数值例子的结果也验证了所讨论的理论结果。     

Vendor managed inventory in tramp shipping

This paper introduces a new problem to the OR community that combines traditional tramp shipping with a vendor managed inventory (VMI) service. Such a service may replace the more traditional contract of affreightment (COA) which for decades has been the standard agreement between a tramp shipping company and a charterer. We present a mathematical formulation describing the routing and scheduling problem faced by a tramp shipping company that offers a VMI service to its customers. The problem is formulated as an arc-flow model, and is then reformulated as a path-flow model which is solved using a hybrid approach that combines branch-and-price with a priori path-generation. To solve larger, and more realistic, instances we present a heuristic path-generation algorithm. Computational experiments show that the heuristic approach is much faster than the exact method, with insignificant reductions in solution quality. Further, we investigate the economic impact of introducing a VMI service, by comparing the results obtained with the new model with results obtained by solving the traditional routing and scheduling problem faced by tramp shipping companies using COA. The computational results show that it is possible to substantially increase supply chain profit and efficiency by replacing the traditional COAs with VMI services.     

考虑自取服务和门到门服务的电动汽车物流网络优化策略研究

在环境意识增长与政府政策支持的有利条件下,电动汽车在物流领域得以快速发展。为提高物流服务的效率,降低企业运营成本,文中研究了考虑顾客服务策略的电动物流汽车服务设施选址与配送路径问题。采取顾客自行取货与配送人员送货上门相结合的多样化服务策略,使得服务站点的建设成本、顾客点配送路径成本以及服务站点补货路径成本之和最小。建立了整数规划数学模型,允许配送车辆在服务过程中前往服务站点接受充电服务。其次,提出了基于改进节约算法和禁忌算法的混合启发式算法MCWSA-TS。随后,在小规模算例将CPLEX运算结果与MCWSA-TS进行对比,证明了算法的有效性。最后,采用多组算例探讨了顾客取货半径对运营成本的影响,并对分离配送策略与联合配送策略进行对比分析。实验结果表明,多样化服务策略有助于企业满足顾客取货时间和取货方式的个性化需求。同时,兼顾运营成本与顾客满意度,促进电动汽车参与的物流服务快速发展。     

Profitability of Service‐Level‐Based Price Differentiation with Inventory Rationing

In this paper, we study the profitability of service‐level‐based price differentiation (SLBPD) in an inventory‐rationing context. SLBPD implies that a company offers several combinations of prices and guaranteed service levels, from which customers self‐select; different customers choose different offerings because they incur different shortage costs if an order is not fulfilled immediately. We develop an analytical model for SLBPD and explore if and when such a service differentiation strategy yields higher profits than a single undifferentiated offering. The results of our analyses suggest that SLBPD is profitable only if a company faces pricing restrictions, e.g., because of competitive pressure or regulatory restrictions. We develop necessary and sufficient conditions under which a specific and relevant form of SLBPD (called “service‐level‐based upselling”) is profitable, and provide an algorithm to compute the optimal parameters of such a policy. Based on this algorithm we carry out numerical analyses that allow us to characterize the profit increment of service‐level‐based upselling. We derive managerial insights into the attractiveness of SLBPD and explain how our basic analytical framework can be extended to account for more complex practical features.     

The limits of price leadership: needs-based positioning strategy and the long-term competitiveness of Europe’s low fare airlines

This article argues that a strategy of low operating costs and cheap prices is not sufficient in and of itself to establish long term competitive advantage for a growing company. Companies also need to leverage their distinctive corporate capabilities and unique experiences. In the case of service sector companies such as airlines, capabilities derive from the relationship which exists between the company, its employees, and its customers, as well as the reputation which is gradually established on the basis of reliability and quality of service. Unique experiences arise from the corporate culture and route network which an airline builds over time.     

不同市场能力下的“电商—平台—物流”在线销售系统的决策研究

近年来,随着互联网的快速发展,市场上衍生出了一些在线销售网站。考虑了一个包含电商卖家、电商平台和物流公司的在线销售系统模型,其中需求依赖于产品价格、平台和物流服务水平。研究了当物流、平台同时决策时,在线销售系统中电商卖家和平台、物流之间的不同市场能力结构问题。考虑了3种不同市场能力的分散决策模型:(1)物流-平台Stackelberg模型;(2)电商Stackelberg模型;(3)Nash模型。相关的均衡解和最优利润被得到。研究结果表明,在不同的市场能力结构下,当物流公司和平台同时决策时,即使他们的服务投入不相同,但最优收费相同。市场能力结构对在线销售成员和消费者有重要的影响。对电商而言,当市场能力较高时,会制定较低的零售价格,并获得最多的利润,同时能够提升消费者购买的积极性;当市场能力较低时,电商会制定较高的零售价格,并获得最少的利润。对平台和物流公司而言,当市场能力较高时,会制定比较高的收费,同时付出较少的努力,但并不能获得最高利润,同时会打击消费者的积极性;但是,当市场能力较低时,他们一定获得最少的利润。在Nash模型中,平台和物流公司会付出最大的努力,同时获得最大的利润,而整个在线销售系统的总利润也是最多。在物流-平台Stackelberg模型中,平台和物流公司付出的努力最少,而整个在线销售系统的总利润也最少。     

Improving the efficiency of IT help-desk service by Six Sigma management methodology (DMAIC) – a case study of C company

Six Sigma concept depicts a ‘Triangle Relationship’ that integrates three attributes such as customer quality, science manners and team work. By employing this concept with the required survey and data collection to carry out the continuous improvement, a company can truly take advantage of the minimum set of operational variables and the lowest cost procedures, and hence, result in an increasing competitive value for/to the company. This research is conducted based on the Six Sigma methodology, DMAIC (definition, measurement, analysis, improvement and control) principle, and it deals with project-related issues to improve the efficiency of information technology (IT) help-desk service through an eHelp-desk system. It is the authors’ belief that the use of eHelp-desk system can help case company to improve its service quality and efficiency. In addition, managerial implications and research limitations are discussed at the end of this article.     

市场导向、创新与企业表现的关系——基于中国服务业的实证研究

市场导向的采用可以产生良好的企业表现等命题已被广泛接受,然而,二者之间具体关系的实证分析尚还不足,尤其是中国服务业中二者的具体关系研究几乎空白。本文以中国服务业企业为研究对象,提出了市场导向、创新与企业表现关系的假设模型,根据570个服务企业样本数据,利用回归分析及结构方程模型进行了检验,发现中国服务业中市场导向是通过创新的介入与递推而对企业表现发挥作用的。因此,中国服务业企业在市场导向的应用过程中要注意对创新活动的支持,这样才能充分发挥市场导向的作用。     

Editorial Another milestone

A Master Production Scheduling Decision Support System within a multi-product medical supplies market has the dual task of providing good customer service levels while maintaining minimum reasonable levels of finished goods stock in the face of considerable internal manufacturing lead time and customer demand uncertainty. This paper examines the critical design parameters within an adaptive model highlighting how the total system orders in the internal pipeline are utilized in the decision-making process for assessing how much to load the internal manufacturing pipeline. Two different methods for tracking manufacturing lead times within the adaptive loop are also considered. Classical control concepts are applied within the Decision Support System (DSS) to avoid any long-term drift in finished stocks. Finally scenario analysis is performed via simulation for a set of design parameters and a range of stimuli typical of company operating situations. An effective decision support system design in terms of architecture and parameter settings is recommended based upon the ability of the model to maintain high customer service levels. The DSS readily interfaces between marketing and production functions to enhance company competitive advantage across a wide range of products.     

基于成本/服务权衡的逆向物流网络设计问题研究

逆向物流网络设计是企业获得经济利益和提高竞争力的战略决策之一。本文针对售后服务逆向物流网络设计问题,考虑了同时优化物流网络运营成本和服务水平,提出了一个多目标整数规划模型来确定服务中心的个数、位置、容量等级以及客户区指派到服务中心的策略,并得到成本和服务之间的权衡关系。设计了一种混合多目标进化算法求解模型。通过实例分析,找出了影响物流网络设计的关键因素。通过算例测试,对混合多目标进化算法和ε约束法进行了比较,结果表明混合多目标进化算法对求解中大规模的问题是一种良好的方法。     

RFID technology for increasing visibility in ETO supply chains: a case study

This paper presents the application of an innovative system for increasing visibility along an Engineer-To-Order supply chain. The system has been applied in a leading Italian company that manufactures vessels and tube heat exchangers. By means of this method, the company shares information about its shop floor activities with other actors in the supply chain, i.e. clients and suppliers. The system elements are as follows: Radio-frequency identification transponders (to identify either components, operators, tooling machines (e.g. welding machines) or production phases), a Wi-Fi network (to communicate data) and a web-based application that is accessible by the company’s clients. This paper shows the methodology that is used to define the system’s architecture and the technical solutions adopted. Benefits in terms of reduction in costs for monitoring and control have been observed. Moreover, customers perceived the increased visibility of the production process to be a valuable service.     

考虑动态损失厌恶的V2G市场交易激励机制设计

为推进V2G服务设想的实现,本文将电动汽车用户的动态损失厌恶特性考虑在内,分析了一般“保底收购,随行就市”市场制度下,电动汽车用户与电网公司间关于V2G服务交易的博弈行为,并提出了相应的激励机制。研究发现:在一般“保底收购,随行就市”市场制度下,电动汽车用户关于V2G服务的行为选择无法满足电网公司关于V2G服务电量的期望;电动汽车用户对V2G服务电量的决策受其对未来交易价格预期的影响,且存在违约风险。鉴于此,文章引入“激励保证金+违约金”的激励机制,并给出了对应的保底价格策略、激励保证金与违约金等策略,以使电动汽车用户的V2G服务选择与电网公司的期望相统一。算例分析结果验证了本文提出的模型与理论分析的可行性。     

服务企业的顾客忠诚及其决定因素研究

忠诚的顾客是企业生存和发展的基础,服务业的迅速发展要求业界和学界深入了解服务业顾客忠诚的确切含义、构成及其决定因素。本文对西方学者在服务业顾客忠诚领域的相关研究进行了回顾和梳理,从直接影响和间接影响途径探讨了它的关键决定因素,并引入顾客价值概念诠释顾客忠诚的成因,最后提出若干基于顾客价值进行顾客忠诚管理的建议。     

Risk‐Informed Regulation and Safety Management of Nuclear Power Plants—On the Prevention of Severe Accidents

There are four operating nuclear power plant (NPP) units in Finland. The Teollisuuden Voima (TVO) power company has two 840 MWe BWR units supplied by Asea‐Atom at the Olkiluoto site. The Fortum corporation (formerly IVO) has two 500 MWe VVER 440/213 units at the Loviisa site. In addition, a 1600 MWe European Pressurized Water Reactor supplied by AREVA NP (formerly the Framatome ANP—Siemens AG Consortium) is under construction at the Olkiluoto site. Recently, the Finnish Parliament ratified the government Decision in Principle that the utilities' applications to build two new NPP units are in line with the total good of the society. The Finnish utilities, Fenno power company, and TVO company are in progress of qualifying the type of the new nuclear builds. In Finland, risk‐informed applications are formally integrated in the regulatory process of NPPs that are already in the early design phase and these are to run through the construction and operation phases all through the entire plant service time. A plant‐specific full‐scope probabilistic risk assessment (PRA) is required for each NPP. PRAs shall cover internal events, area events (fires, floods), and external events such as harsh weather conditions and seismic events in all operating modes. Special attention is devoted to the use of various risk‐informed PRA applications in the licensing of Olkiluoto 3 NPP.     

Application of Design for Six Sigma tools in telecom service improvement

Abstract

Six Sigma is a systematic methodology aiming at operational excellence. Under the general umbrella of Six Sigma, DMAIC and Design for Six Sigma are usually be implemented to improve product and process quality. Facing quality bottlenecks in traditional improvement projects, tools in Design for Six Sigma is an efficient way to achieve better results. In this paper, to meet the high-quality requirement of key clients, a telecom service system improvement project is illustrated by redesigning troubleshooting and service delivery processes in company Shanghai Telecom Co. Ltd. (ST) with the aid of some Design for Six Sigma tools. Company ST improved its service system performance and obtained significant economic benefits from this project implementation. Four key factors that affect the success of Design for Six Sigma tools application in improvement projects are discussed at last.     

A NEW LEARNING APPROACH TO PROCESS IMPROVEMENT IN A TELECOMMUNICATIONS COMPANY

Redesigning and improving business processes to better serve customer needs has become a priority in service industries as they scramble to become more competitive. We describe an approach to process improvement that is being developed collaboratively by applied researchers at US WEST, a major telecommunications company, and the University of Colorado. Motivated by the need to streamline and to add more quantitative power to traditional quality improvement processes, the new approach uses an artificial intelligence (AI) statistical tree growing method using customer survey data to identify operations areas where improvements are expected to affect customers most. This AI/statistical method also identifies realistic quantitative targets for improvement and suggests specific strategies predicted to have high impart. This research, funded in part by the Colorado Advanced Software Institute (CASI) to stimulate profitable innovations, has resulted in a practical methodology used successfully at US WEST to help set process improvement priorities and guide resource allocation decisions throughout the company.