含风险规避者的供应链收益共享契约机制研究

提出了具有风险规避者加盟的供应链协作收益共享机制,分别给出了零售商为风险中性及风险规避者时收益共享系数协商区间.采用数值实验方法,对所提出的收益共享机制进行了分析.结果表明,供应商采用收益共享机制可使整个供应链得到协调;在收益共享契约机制中供应商制定的批发价格要低于它的生产成本,而且当零售商为风险规避者时,它将期望供应商给予较低的批发价格,而宁愿让供应商获取较大的供应链销售收入份额.     

Scheduling and co-ordination of multi-suppliers single-warehouse-operator single-manufacturer supply chains with variable production rates and storage costs

We study a supply chain scheduling and co-ordination problem comprising multiple suppliers, a single warehouse operator, a single manufacturer, and multiple retailers, where the supply chain has limited production capacity that can take only some of the orders from the retailers. For a decentralised supply chain, the manufacturer is a decision maker that selects the orders and aims to maximise its own profit, where the profit is a function of the order storage time and storage quantity, order sequence-dependent weighted storage costs, and idle time of the orders. On the other hand, for a centralised supply chain, a supply chain co-ordinator exists that aims to maximise the profit of the whole supply chain and allocates the profit among the supply chain members. We first formulate the problem as a two-machine common-due-window flow shop scheduling problem. We then develop a theorem and two algorithms to solve the optimal scheduling problems in both the decentralised and centralised supply chains. With these results, we develop a method that can achieve channel co-ordination based on a profit sharing rule, together with an increase in the production rates and a decrease in the storage costs.     

Decentralised planning coordination with quantity discount contract in a divergent supply chain

This paper proposes to solve a supply chain planning problem with realistic features. The problem consists of planning productions, transportations and storage activities in a supply chain at a tactical level on a finite horizon. The main features considered are decentralised decision making and iteration of the planning process on a rolling horizon basis. In each planning process, the actors optimise their local planning and coordinate to achieve a good overall planning. A multi-agent system is used to model such supply chain behaviour. The study is conducted in a divergent two-echelon supply chain with one manufacturer and multiple independent retailers. Coordination is achieved using a standard contract in practice, known as the ‘quantity discount’ contract. The planning framework on the supply chain structure is detailed. Lot-sizing models integrating the quantity discount are presented for the local planning problems. Experimental tests are conducted with three major parameters: quantity discount price, quantity discount breakpoint and rolling horizon length. They are used to determine the quantity discount parameters in achieving the best supply chain profit, and to analyse the increasing profit of the actors. A decision-making tool which is able to consider realistic features of supply chain planning is therefore resulted.     

An approach to integrate production-transportation planning and scheduling in an aluminium supply chain network

This article is based on a real-life problem of a global aluminium supply chain network driven by an aluminium smelter. At each echelon of the aluminium supply chain network, several members are involved which are scattered around the world. Producing aluminium begins with bauxite mining. Next, aluminium oxide is made from bauxite and finally aluminium is produced from aluminium oxide. A novel type of mixed-integer decision-making model, including a time-continuous representation of the planning period, is presented. The model enables coordination of production quantities and times of all supply chain members in order to minimise production and transportation costs of the whole supply chain minus bonus payments for early deliveries which are stipulated between the supply chain network and its customers. Material flows can take place with or without temporary storage of intermediate products at supplying and/or receiving sites. Furthermore, relax-and-fix heuristics are presented. A number of randomly generated scenarios are presented to demonstrate that the heuristics can find nearly optimal solutions along with drastically reduced computation times. The relax-and-fix heuristic enables iterative planning between centralised and decentralised decision makers.     

Simulation and performance evaluation of partially and fully integrated sales and operations planning

This article presents rolling horizon simulation models and performance analysis of partially and fully integrated sales and operations planning (S&OP) against traditional decoupled planning in a multi-site make-to-order (MTO) based manufacturing supply chain. Three simulation models are developed illustrating, respectively, the fully integrated S&OP model, which integrates cross-functional planning of sales, production, distribution, and procurement centrally; the partially integrated S&OP model, in which the joint sales and production planning is performed centrally while distribution and procurement are planned separately at each site; and the decoupled planning model, in which sales planning is carried out centrally while production, distribution, and procurement are planned separately and locally. A solution procedure is provided for each model so that a more realistic planning process can be simulated. Performances of rolling horizon simulation models are evaluated against those of the fixed horizon deterministic models. The results demonstrate that while deterministic models are important for theoretical studies, they are insufficient for decision support and performance evaluations in a real business environment. A rolling horizon simulation model is required to provide more realistic solutions. The effects of demand uncertainties and forecast inaccuracies are incorporated in the evaluation. The study is carried out based on a real industrial case of a Canadian-based oriented strand board (OSB) manufacturing company.     

收益共享的供应链协作契约机制研究

建立了由制造商与零售商组成的两级供应链,研究了供应链分散决策与协调决策下的双方收益问题,发现协调决策下整条供应链收益大于分散决策时整个供应链收益,但整条供应链的收益增加并不能保证合作方的收益均能增加,因此需要通过利益协调来激励供应链上的各方积极参与合作.为此,提出了基于收益共享的供应链协作激励机制.通过案例分析验证了这种模型的有效性.     

Aggregate production planning for shipbuilding with variation-inventory trade-offs

Shipbuilding is a complex production system characterised by a complicated work and organisation structure, prolonged production lead time, and heterogeneous resource requirements. Thus, effectively planning all involved activities presents a challenging task and requires the timely coordination between the successive production stages at the plant level and effective resource allocation at the workshop level. With the work breakdown structure of all projects and their corresponding building strategies, the aggregate production planning (APP) is to address two important issues, namely, workforce level and inventory usage so that the fluctuating demands from downstream processes can be satisfied in a cost-effective manner. To achieve this, a novel APP model is proposed for ship production to minimise the variation of aggregate man-hour over the planning horizon and simultaneously minimise the logistic demands of the interim products. In view of the combinatorial nature and computational complexity, a directed genetic algorithm based solver has been developed to solve the two-conflicting-objective optimisation problem. The proposed approach has been applied to a case study and preliminary results have shown certain effectiveness in handling various situations with different planning strategies.     

考虑销售价格变动的服装行业供应链契约研究

考虑销售价格变动对服装行业供应链的影响,以博弈论为基础,建立了单次订购两阶段销售模型,通过对单一契约以及组合契约对服装供应链协调性分析,得出：组合契约优于单一契约,当供应链系统最优时,单一契约参数的设计依赖于企业的生产成本和市场需求结构,组合契约的参数设计与市场需求无关;通过设计合理的批发价格和契约参数,组合契约能够协调服装供应链;销售价格的变动会对组合契约的参数设计产生影响;特权使用费的转移支付有助于协调服装供应链。最后通过某一服装企业案例作了实证研究。     

Supply chain network design with unreliable suppliers: a Lagrangian relaxation-based approach

This paper deals with the integrated facility location and supplier selection decisions for the design of supply chain network with reliable and unreliable suppliers. Two problems are addressed: (1) facility location/supplier selection; and (2) facility location/supplier reliability. We first consider the facility location and supplier selections problem where all the suppliers are reliable. The decisions concern the selection of suppliers, the location of distribution centres (DCs), the allocation of suppliers to DCs and the allocation of retailers to DCs. The objective is to minimise fixed DCs location costs, inventory and safety stock costs at the DCs and ordering costs and transportation costs across the network. The introduction of inventory costs and safety stock costs leads to a non-linear NP-hard optimisation problem. To solve this problem, a Lagrangian relaxation-based approach is developed. For the second problem, a two-period decision model is proposed in which selected suppliers are reliable in the first period and can fail in the second period. The corresponding facility location/supplier reliability problem is formulated as a non-linear stochastic programming problem. A Monte Carlo optimisation approach combining the sample average approximation scheme and the Lagrangian relaxation-based approach is proposed. Computational results are presented to evaluate the efficiency of the proposed approaches.     

不确定需求下制造商渠道入侵与信息收集披露激励

研究单个零售商和制造商组成的二级供应链,零售商通过调查获取市场不确定需求信息,而制造商可能建立直销渠道与零售商展开销售竞争。分别在集中决策和分散决策下刻画零售商最优收集、披露策略以及制造商的最优入侵策略;在此基础上设计了促进零售商收集并且披露需求信息的固定报酬激励机制。研究表明:当收集成本、渠道替代率以及固定入侵成本处于合适阈值区间时,需求信息收集和披露会改善双方收益;零售商信息披露可以影响制造商的入侵决策;制造商入侵在一定条件下有利于供应链整体收益,但总是不利于零售商;在制造商率先决定入侵时,零售商接受激励政策可以实现双方共赢。最后通过算例验证了理论的正确性和有效性。     

Optimal ordering and pricing policy for an inventory system with order cancellations

This paper investigates the problem of ordering and pricing over a finite time planning horizon for an inventory system with advance sales and spot sales. It is assumed that the planning horizon is divided into several sales cycles each of which is divided into an advance sales period and a spot sales period. During the advance sales period, all customers are required to make reservations for their orders and will receive them at the arrival time of the replenishment orders. In the case of the spot sales periods, all customers receive their orders at the time of the purchase. In actual practice, since customers with reservations may cancel their orders before receiving them, this paper considers this phenomenon and develops a continuous time inventory model to deal with the proposed problem. This paper maximizes the total profit over a finite time planning horizon by determining the optimal advance sales price, spot sales price, order size, and replenishment frequency. Analysis of results shows that a simple algorithm can be developed to arrive at an optimal decision.     

集群式供应链大规模定制化的计划管理模式

以产业集群为平台的供应链(以下称为集群式供应链)有着基于同一产业的多单链性.多单链性和生产产品的同类性,使得集群式供应链具有进行大规模定制化生产的优势,为了实现这种优势,以时间竞争为出发点,通过中观相结合,分析了集群式供应链供应商、外包商、制造商和分销商的各环节计划管理,将集群式供应链的系统战略计划和各个企业运作计划进行有机整合起来,在此基础上给出了集群式供应链大规模定制化的主生产计划、物料需求计划和生产作业计划的分解机理.     

面向延保服务的网购供应链协调策略研究

针对网购供应链延保服务决策效率和利润均衡问题,考虑产品故障率情形下,从延保价格、产品价格以及销售努力水平同时影响延保市场需求的角度,利用Stackelberg博弈构建了第三方服务商和电商平台的延保收益函数。分析比较了集中决策和分散决策下网购供应链的最优延保决策问题,探讨了2种收益共享契约对面向延保服务的网购供应链协调效果。研究表明,无论是集中决策还是分散决策,产品故障率的大小会同时影响延保服务的价格、销售努力水平、销售量及延保利润;传统收益共享契约无法实现面向延保服务的网购供应链协调,而改进收益共享契约并保证收益共享系数在合理区间取值,可优化电商平台、第三方服务商以及供应链系统的延保决策效率,实现供应链各主体延保收益的帕累托改善。     

Quantity discount coordination for allocation of purchase orders in supply chains with multiple suppliers

Studies about supply chain coordination have emphasised maximising the profit of the overall supply chain, but the profit changes of individual members in the supply chain have often been overlooked. It has been shown that profit increment of the whole supply chain may not be beneficial for every individual member. Therefore, the use of quantity discounts to achieve the coordination of a supply chain is discussed in this article. A two-echelon selling system with a single buyer and multiple suppliers is considered to enhance profitability for both sides at the same time. An acceptable quantity discount condition for both the buyer and the suppliers to determine an appropriate order quantity allocation to produce more profits in the supply chain is proposed. Furthermore, the profit distribution between the buyer and each supplier is studied. Finally, the results of the numerical application show that the buyer should focus on managing the procurement costs to decrease the acquiring costs, and the suppliers should focus on the fixed costs of management to reduce the production costs in machine operations.     

网络空间供应链入侵检测及防御子系统的投资合作机制研究

针对由入侵检测及入侵防御子系统所构成的网络空间供应链安全体系,研究供应链上下游企业共同投资安全体系构建的合作协调机制。考虑入侵防御子系统和入侵检测子系统的投资存在成本互补效应,分析了供应链福利最大化情况下的入侵防御子系统和入侵检测子系统的最优安全努力水准,并探讨了离散决策情形下安全体系构建的投资决策机制,以及供应商与零售商共同负责入侵检测与入侵防御子系统的投资决策机制。在此基础上,设计了供应链安全体系构建投资的奖惩协调机制,实现了上下游对不同子系统投资的协调与合作。     

Closed loop supply chain network design and optimisation using fuzzy mixed integer linear programming model

Owing to the revolution in sustainable and green manufacturing the production planning and network design of closed loop supply chain concept has got the attention of researchers and managers. In this paper, a multi-product, multi-facility capacitated closed-loop supply chain framework is proposed in an uncertain environment including reuse, refurbish, recycle and disposal of parts. The uncertainty related to demand, fraction of parts recovered for different product recovery processes, product acquisition cost, purchasing cost, transportation cost, processing, and set-up cost is handled with fuzzy numbers. A fuzzy mixed integer linear programming model is proposed to decide optimally the location and allocation of parts at each facility and number of parts to be purchased from external suppliers in order to maximise the profit of organisation. The proposed solution methodology is able to generate a balanced solution between the feasibility degree and degree of satisfaction of the decision maker. The proposed model has been tested with an illustrative example.     

考虑缺货成本的VMI利益分配

考虑缺货成本,从库存成本角度开展研究,通过对比实施VMI前后供应链库存成本模型,指出VMI短期内供应链收益来源于库存成本变化,且存在责任利益不一致的情况。针对供需双方不同地位,应用价格契约、斯坦科尔博格博弈模型与收益共享契约分别建立了零售商占优与供需双方地位平等情况下的利益分配模型,求解出零售商激励采购价格与收益共享系数的具体值,并采用算例进行分析。     

Coordinating a supply chain under demand and cost disruptions

In this paper, we investigate the coordination of a supply chain consisting of one manufacturer and n Bertrand competing retailers under disruptions of market demand and production cost. We present a coordination model of a supply chain under normal scenarios. Our findings demonstrate that the coordination scheme designed for the initial production plan should be revised when disruptions of market demand and production cost occur. To resolve this issue, we consider the possible deviation costs caused by disruptions and propose optimal decision models for different disruptions under centralised decision-making. We present an improved revenue-sharing contract model to coordinate the decentralised supply chain under disruptions. The proposed models are then further analysed through numerical examples.     

考虑销售努力和运输时间的农产品供应链弹性契约

目的 进一步实现农产品供应链数量弹性契约利润最大化。方法 在市场需求随机的条件下,考虑销售努力和运输时间为影响需求的关键变量,建立起由供应商和零售商组成的农产品供应链数量弹性契约模型。基于该模型引入奖励与惩罚策略,以实现农产品供应链弹性契约的一致性和有效性。结果 结合农产品特征,通过具体的模型优化方法和算例分析得出最优值以及各变量与最优销售努力水平、最优运输时间、最优订货量和整体农产品供应链利润之间的相关关系。结论 农产品供应链弹性契约能实现协调下的利润最大化,对农业经营主体企业开展农产品供应链弹性研究具有重要的理论和实践价值。     

An integrated weighted fuzzy multi-objective model for supplier selection and order scheduling in a supply chain

This paper presents a new weighted fuzzy multi-objective model to integrated supplier selection, order quantity allocation and customer order scheduling problem to prepare a responsive and order-oriented supply chain in a make-to-order manufacturing system. Total cost and quality of purchased parts as well as the reliability of on-time delivery of customer orders are regarded as the objectives of the model. On the other hand, flexible suppliers can contribute to the responsiveness and flexibility of entire supply chain in the face of uncertain customer orders. Therefore, a mathematical measure is developed for evaluating the volume flexibility of suppliers and is considered as the other objective of the model. Furthermore, by considering the effect of interdependencies between the selection criteria and to handle inconsistent and uncertain judgments, a fuzzy analytic network process method is used to identify top suppliers and consider as the last objective. In order to optimise these objectives, the decision-maker needs to decide from which supplier to purchase parts needed to assemble the customer orders, how to allocate the demand for parts between the selected suppliers, and how to schedule the customer orders for assembled products over the planning time horizon. Numerical examples are presented and computational analysis is reported.