面向批量订货和多需求类的生产与库存配给

针对一个面向两个需求类的生产企业,根据客户每次订货是否可分批交货,提出了当客户订货可分割和不可分割时供应商的最优生产和库存配给策略.分析表明,供应商的最优生产控制策略可用一个取决于系统状态的基准库存水平表示,最优的库存配给策略则用一个多层的取决于状态的配给水平向量表示.随后,该结论被推广至包含任意多个需求类的生产系统.数值分析验证了文中最优策略的有效性.     

Fleet and revenue management in car rental companies: A literature review and an integrated conceptual framework

This paper aims to present, define and structure the car rental fleet management problem, which includes operational fleet management issues and problems traditionally studied under the revenue management framework. The car rental business has challenging and distinctive characteristics, which are mainly related with fleet and decision-making flexibility, and that render this problem relevant for academic research and practical applications. Three main contributions are presented: an in-depth literature review and discussion on car rental fleet and revenue management issues, a novel integrating conceptual framework for this problem, and the identification of research directions for the future development of the field.     

Optimal batch size and investment in multistage production systems with scrap

In this paper, we study the problem of selecting the optimum production batch size in multistage manufacturing facilities with scrap and determining the optimal amount of investment. We analyse the effect of investment for quality improvement on the reduction of the proportion of defectives, and the effect of this reduction on processing cost, setup cost, holding cost, and profit loss. The quality characteristic of the product manufactured is assumed to be normally distributed with a mean equal to the target value. The purpose of the investment is to reduce the variance of the quality characteristic and hence the proportion of defectives. The model assumes known demand, which must be satisfied completely, scrappage at each stage and profit loss due to scrap. Using this model, the optimal values of the production quantity and the proportion of defectives for minimizing the total cost are obtained. The optimal investment is then obtained using the relationship between the investment and the proportion of defectives.     

考虑顾客退货时在线企业的定价与订货策略

电子商务环境中,顾客退货是非常普遍的现象,是在线零售企业运营决策不可忽视的重要考虑因素． 以此为背景,本文将顾客退货引入到在线零售企业的单周期和多周期定价订货策 略研究中． 在确定性需求问题中给出了解析解,在随机性需求问题中证明了解的存在唯一性并做了相应的数值试验． 试验结果显示: 单周期情况下,退货率与在线零售企业定价正相关,而与订货量和收益负相关; 价格弹性与在线零售企业定价、收益负相关,对订货量的影响通过一个临界值发生相反的变化; 市场随机波动对在线零售企业的决策行为也有很大影响． 多周期情况下,在线零售企业会在初始期采取低价高订货量策略,而在末期采取高价低订货量策略,退货率越高,企业总收益越低． 同时,针对单周期随机性需求问题,借助期望－方差分析法分析了考虑顾客退货时期望收益的波动,得出风险偏好不同的在线零售企业策略选择有很大不同． 无论哪种情况,努力控制顾客退货率都有利于在线零售企业获得高收益．     

Antecedents and consequences of diversity and equality management systems: The importance of gender diversity in the TMT and lower to middle management

Strategic human resource management theory suggests that diversity and equality management (DEM) systems provide a firm with a competitive advantage, leading to superior performance. This study proposes and tests a moderated mediation model focusing on antecedents (i.e. top management team gender diversity) and consequences (i.e. performance) of DEM systems in the context of lower through middle management (LTMM) gender diversity. The model was tested in 248 medium-to large-sized organizations using time-lagged survey and archival data. The findings provide full support for the hypothesis that a gender-diverse top management team is positively associated with DEM systems. The results provide partial support for the following hypotheses: DEM systems are positively associated with performance and this relationship is moderated by LTMM gender diversity; and DEM systems mediate the relationship between TMT gender diversity and performance. We discuss theoretical, research and practical implications.     

Capacity Planning with Financial and Operational Hedging in Low‐Cost Countries

The authors of this article outline a capacity planning problem in which a risk‐averse firm reserves capacities with potential suppliers that are located in multiple low‐cost countries. While demand is uncertain, the firm also faces multi‐country foreign currency exposures. This study develops a mean‐variance model that maximizes the firm's optimal utility and derives optimal utility and optimal decisions in capacity and financial hedging size. The authors show that when demand and exchange rate risks are perfectly correlated, a risk‐averse firm, by using financial hedging, will achieve the same optimal utility as a risk‐neutral firm. In this study as well, a special case is examined regarding two suppliers in China and Vietnam. The results show that if a single supplier is contracted, financial hedging most benefits the highly risk‐averse firm when the demand and exchange rate are highly negatively related. When only one hedge is used, financial hedging dominates operational hedging only when the firm is very risk averse and the correlation between the two exchange rates have become positive. With both theoretical and numerical results, this study concludes that the two hedges are strategic tools and interact each other to maximize the optimal utility.     

A two-stage stochastic programming approach to employee scheduling in retail outlets with uncertain demand

This paper describes an employee scheduling system for retail outlets; it is a constraint-based system that exploits forecasts and stochastic techniques to generate schedules meeting the demand for sales personnel. Uncertain scenarios due to fluctuating demand are taken into account to develop a stochastic operational optimization of staffing levels. Mathematically, the problem is stated as a mixed-integer linear programming problem. Simulations with store data belonging to a major Swiss retailer show the effective performance of the proposed approach. The schedule quality is assessed through comparison with a deterministic scheduling package, which has been used at several outlets in Switzerland.     

Enterprise risk management for automation in correctional facilities with pandemic and other stressors

Real-time tracking of tool and equipment inventories is a critical function of many organizations and sectors. For prisons and correctional facilities, tracking and monitoring of assets such as cookware, hardware, keys, janitorial equipment, vocational/technical specialty tools, etc., is essential for safety, security, trust, efficiency, education, etc. The performance of automated systems for this purpose can be diminished by a variety of emergent and future sociotechnical factors alone and in combination. This article introduces a methodology for contractor evaluation and selection in acquisition of innovative asset management systems, with an emphasis on evolving system requirements under uncertainty. The methodology features a scenario-based preferences analysis of emergent and future conditions that are disruptive to the performance of the asset-control system. The conditions are across technologies, operating environments, regulations, workforce behaviors, offender behaviors, prices and markets, organizations, cyber threats, etc. The methodology addresses the influence and interaction of the conditions to disrupt system priorities. Examples include: (i) infectious disease disrupting priorities among requirements and (ii)  radio-frequency identification (RFID) and wireless-technology innovations disrupting priorities among stakeholders. The combinations of conditions that most and least matter for the system acquisition are characterized. The methodology constitutes a risk register for monitoring sources of risk to project performance, schedule, and cost throughout the system lifecycle. The results will be of interest to both practitioners and scholars engaged in systems acquisition as the pandemic interacts with other factors to affect risk, uncertainty, and resilience of organizational missions and operations.     

Sustainable planning strategies in supply chain systems: proposal and applications with a real case study in fashion

Abstract

Pollution generated by the fashion industry drives people to pay attention to fashion companies’ sustainability practice. This increase in attention has induced vast literature studying the related area. Since the fashion apparel supply chain is complicated which involves a lot of interrelated steps and decisions, how fashion companies can identify the demand in sustainable fashion and make the right decision in resource allocation throughout the supply chain becomes a critical issue. As a result, this paper examines how a fashion company can develop a successful sustainable planning strategy throughout the sustainable fashion supply chain. The sustainability attributes and the sustainable planning strategy mechanism are also discussed. Based on the institutional theory and resource-based theory, we first analyse the external pressure and internal motivations for companies to adopt a sustainable planning strategy in the fashion supply chain. We then identify the core stakeholders related to the sustainable planning strategy and propose how the decision-making theory can help develop the sustainable supply chain management mechanism. Next, we establish a sustainable planning strategy framework. Finally, via a case study with public data on the fashion giant brand Nike, we explore the application of our proposed sustainable planning strategy framework. The finding suggests that the strategic planning of fashion companies on sustainability can improve the performance of the stakeholders throughout the whole sustainable fashion supply chain.