Supply chain management: a supplier perspective

A new way of researching into supply chain management is introduced by adopting a supplier perspective. Details are given of mixed integer linear planning and simulation models. The planning model takes into consideration firm and forecast orders (customer's forecast purchasing orders) and the behaviour of the supplier's suppliers and suppliers' subcontractors. The simulation model takes into account the dynamic behaviour of the supply chain and includes the planning production behaviour of a supplying company based on the planning model. The supplier manager can use the simulation model to determine what kind of parameters most affect company performances and then propose new management rules. Quantitative results that prove the benefits of integrating forecast orders for an aeronautic supplier have been provided.     

Use of Scanning Research in Decision Making: An Examination of the Environmental Imperative and Power-Control Perspective

Environmental uncertainty provides the context for public relations practices. Arguably, environmental uncertainty leads to greater organizational responsiveness to those environments through strategic planning. This survey of 505 American Public Relations Society of America members indicated, however, that perceived environmental conditions were less important to management decision-making than how those conditions were translated or packaged as decision-making inputs through formal environmental scanning mechanisms. Environmental uncertainty had no impact on decision making, once the mediating influence of formal scanning was controlled.     

The Economic Efficiency of Sampling Size: The Case of Beef Trim

The economically optimal sample size in a food safety test balances the marginal costs and marginal benefits of increasing the sample size. We provide a method for selecting the sample size when testing beef trim for Escherichia coli O157:H7 that equates the averted costs of recalls and health damages from contaminated meats sold to consumers with the increased costs of testing while allowing for uncertainty about the underlying prevalence rates of contamination. Using simulations, we show that, in most cases, the optimal sample size is larger than the current sample size of 60 and, in some cases, it exceeds 120. Moreover, lots with a lower prevalence rate have a higher expected damage because contamination is more difficult to detect. Our simulations indicate that these lots have a higher optimal sampling rate.     

An introduction to relationship algebras

Since the introduction and definition of relationship algebras by James (1957), rolatively little use has been made of this theory in experimental design and analysis problems This may be due to the underlying theory of relationship algebras being previously accessible only in books on mathematical structure theory, e.g. van der Waerden (1950) This paper provides a development of the theory of relationship algebras beginning at an elementray level and including only those parts of mathematical structure theory which are essential to this development. An example of its application in derving an analysis due to alling (1967) is presented.     

Ways out of the sewage sludge dilemma: Connecting administrative and participatory decision making

This paper examines the problem of decisions about the disposal of sewage sludge, in the face of stakeholder groups with varying viewpoints, based on a current case from the state of Lower Saxony in Germany. Like other developed countries, Germany faces the dilemma that sludge arisings are increasing (e.g., because of better water treatment) while disposal options are becoming more scarce. Lower Saxony relies heavily on landfill and agricultural application, but landfill of untreated sludge will be banned after 2005. The state Environment Ministry sees agricultural application as having various advantages, but it faces scepticism from various stakeholders. The ministry has therefore taken steps to encourage a long-term dialogue process with the main stakeholders, including farming organizations, food processors, other landowners such as the churches, and environmental and consumer organizations. The process began with a discussion forum in 1995 that led to the proposal of specific discussions with stakeholders. This paper focuses in particular on the dialogue with environmental and consumer groups. It analyzes the initial positions of the various stakeholders, describes the concrete steps taken so far, describes the ongoing efforts, and critically evaluates the procedures used as well as their implications in terms of the ideas of deliberation and analysis.     

Use of a conceptual model of societal drivers of ecological change in South Florida: Implications of an ecosystem management scenario

Human-dominated ecosystems such as in South Florida's Everglades region are greatly affected by societal actions and choices, and efforts to restore degraded ecosystems must take into account the societal drivers of ecosystem change. A conceptual model of societal-ecological interactions within the region illustrates connections between major societal drivers, such as water management and land use, and ecological stressors, such as loss of habitat and nutrient loading. Using the conceptual model as an initial guide for discussion, examination of a restoration scenario for the region shows that social and economic effects from activities proposed in a restoration scenario will likely affect most sectors of South Florida. Political effects from changing land and water management practices likely will be significant, as will the physical effects of changing water structures and management practices. Conceptual models such as this can aid in the initial stages of ecosystem restoration discussions and can assist in planning for subsequent social science evaluations of specific societal impacts of actual proposed governmental restoration alternatives. In crafting restoration scenarios, local, regional, and national decision makers can use conceptual models such as this to help broaden the early considerations of how possible future changes in societal drivers, including management choices, will change ecological stressors that affect ecosystem health.