基于SWOT分析的喇叭河森林公园旅游产品策划

基于SWOT分析,喇叭河森林公园既有区位、资源等方面的旅游开发优势,又有生态环境脆弱、资金投入不足、市场开拓不足等方面劣势;既有发展机遇,又面临多方面的挑战.因此,喇叭河森林公园旅游产品策划就应基于锥形的旅游产品结构体系,以"市场导向,资源依托"为策划原则,引进品牌战略,构建多样的项目集群,并实行多元化的经营模式,以吸引更多的游客.     

“两伊问题”困扰中的美国海湾战略选择

伊战后,美国的海湾战略屡屡受挫,在中东面临危机多元化和扩散化的严重挑战。在伊拉克陷阱和伊朗核问题的双重困扰下,小布什政府及其后任可能的战略选择包括坚持原有“主导和预防行动”、采取“崩溃预防型”、恢复“稳定、威慑和遏制”、考虑“合作型秩序”等。但除非美国放弃独家主导海湾的霸权战略并调整其战略目标,否则难以在“支配”海湾地区和摆脱困境之间找到两全出路。     

中东地区国际体系的发展演变及其特点

本文在对中东地区国际体系的历史演变进行回顾的基础上,发现了两个重要特点:一是中东地区的民族国家体系并不是一个完全自足的体系,而是具有某种开放性,其发展演化的逻辑很大程度上受国际体系的影响和制约;二是由于长期的历史和文化联系的存在,中东地区的互动和交流特别频繁,使该地区的国际体系在一定程度上呈现出共同体的特征.     

技术创新机制研究

当今中国,资源和环境已经成为制约经济社会发展的“瓶颈”,要突破这一“瓶颈”,实现我国经济社会快速、健康和可持续发展,就必须提高自主创新能力,这是事关经济社会发展全局的战略性问题,而提高自主创新能力的关键则在于创新机制的创新。围绕技术创新的内涵、技术创新的一般机制、我国创新机制存在的问题,并结合国家“十一五”规划,就如何建构有中国特色的技术创新机制进行了研究和探索。     

Master Production Rescheduling Policy in Capacity-Constrained Just-In-Time Make-To-Stock Environments

This paper describes a simulation experiment to evaluate the relative effectiveness of rescheduling policies in capacity-constrained, just-in-time (JIT) make-to-stock production environments. Three performance measures were analyzed: average finished goods inventory, total units of sales lost, and a measure of schedule instability. Among the three loading methods we studied (level loading, front loading, and back loading), none was superior across all three performance measures. Level loading was the most robust, while back loading had an interaction effect with forecasting model and capacity level. Time fence scenario was found not to be as significant a factor in system performance as reported by previous research. Once an acceptable time fence scenario is selected, attempts to optimize this factor do not appear to offer significant improvement. It was found that higher demand variation, larger forecast errors, and tight capacity lead to the degradation of system performance. Judicious use of slack capacity helps a system to incorporate the periodic schedule changes typical of JIT systems.     

A Stochastic Goal Program for Employee Scheduling*

Deterministic goal programs for employee scheduling decisions attempt to minimize expected operating costs by assigning the ideal number of employees to each feasible schedule. For each period in the planning horizon, managers must first determine the amount of labor that should be scheduled for duty. These requirements are often established with marginal analysis techniques, which use estimates for incremental labor costs and shortage expenses. Typically, each period in the planning horizon is evaluated as an independent epoch. An implicit assumption is that individual employees can be assigned to schedules with as little as a single period of work. If this assumption violates local work rules, the labor requirements parameters for the deterministic goal program may be suboptimal. As we show in this research, this well-known limitation can lead to costly staffing and scheduling errors. We propose an employee scheduling model that overcomes this limitation by integrating the labor requirements and scheduling decisions. Instead of a single, externally determined staffing goal for each period, the model uses a probability distribution for the quantity of labor required. The model is free to choose an appropriate staffing level for each period, eliminating the need for a separate goal-setting procedure. In most cases this results in better, less costly decisions. In addition, the proposed model easily accommodates both linear and nonlinear under- and overstaffing penalties. We use simple examples to demonstrate many of these advantages and to illustrate the key techniques necessary to implement our model. We also assess its performance in a study of more than 1,700 simulated stochastic employee scheduling problems.     

Solution Procedures for the Lot-Streaming Problem

Lot streaming is the process of splitting a job into sublots so its operations can be overlapped and its progress accelerated. We present a computationally efficient procedure for solving the m-machine, two-sublot problem, and we discuss the bottleneck insights that emerge from the analysis. We also examine heuristic approaches for more than two sublots and discuss computational results for these procedures.     

Resource Flexibility Issues in Multistage Manufacturing

We test the situational impact of two types of resource flexibility, machine flexibility and labor flexibility, in a material requirements planning (MRP)-driven production system. Machine flexibility has not been treated in prior multistage research, only labor flexibility. Machine flexibility is closely related to a plant's positioning strategy. A process-focused plant opts for considerable machine flexibility by choosing general-purpose equipment. Resource flexibility, if effective, can be an attractive alternative to two other types of buffers, inflated inventories and costly capacity cushions. Our simulation results, using factor settings established earlier by a panel of managers, show that resource flexibility is indeed an effective buffer against uncertainties such as end-item demand variability, capacity bottlenecks, equipment failures, and yield losses. Machine flexibility is especially helpful in environments characterized by high uncertainties, tight capacities, and large lot sizes. Worker flexibility has a similar, but less dramatic, impact. Benefits are most striking with customer service, rather than with inventory or labor productivity. Finally, we show that simultaneous introduction of both machine and labor flexibility yields only marginal improvements over either kind of flexibility alone.     

营销策划的三个层次

针对我国营销策划面临的问题,提出了分层次看待营销策划的思路。论文认为营销策划适合分为三个层次:营销之道的策划、营销之法的策划和销售之术的策划,并对这样分层的作用做了阐释。