Holistic cognitive conflict chain management framework in supply chain management

Supply chain management is an integral part of most businesses and crucial to company performance and customer satisfaction. The demanding characteristics in supply chain management include lack of customer service quality, increased cost, risk management, and lack of inefficiency, which are considered indispensable factors in this research. This paper proposes a holistic cognitive conflict chain management framework (HCCCMF) to enhance quality customer service and supply chain management efficiency. This proposed HCCCMF method reduces interruption during the process and the cost of raw materials, labour, and energy in supply chain management. Behavioural monitoring analysis is carried out to improve quality service to consumers, creating an excellent customer-supplier relationship to function effectively in supply chain management. Policy matrix analysis is introduced to overcome disruptions during operation, which effectively manages affordable rates. The experimental results show that the proposed HCCCMF method enhances the productivity ratio of 94.3%, performance ratio of 98.4%, efficiency ratio of 96.5%, reliability ratio of 95.5%, accuracy ratio of 97.8%, and low trade cost ratio of 15.3% when compared to other existing methods.     

Biomonitoring and environmental management

The advantages of biological monitoring of the environment have been long recognised. Direct measurements on biota of importance rather than the use of chemical surrogates, integration over time and the ability to measure the perhaps subtle changes brought about by minor or intermittent pollution have all been propounded as adantages.There appear to be a variety of barriers to the wider adoption of biomonitoring approaches. The perception that biomonitoring takes longer and is more expensive than chemical monitoring. The idea that chemical measurements are an adequate surrogate for direct measurements of biological change. The belief that interpretation of biological data is complex and uncertain in comparison with chemical data. These widely held myths are addressed and some broad principles to guide the development of biomonitoring programs are developed.     

Environmental management in Singapore

From modest beginnings, Singapore rapidly developed its industrial base which today comprises high technology and high value added industries. Economic growth was accompanied by a comprehensive housing and urban development programme.The formation of the Ministry of the Environment and the Anti-Pollution Unit in the early seventies marked Singapore's commitment to protect the environment in the face of rapid developments.Together with the rapid industrialisation, housing and urban development programme, Singapore also implemented a programme to prevent pollution as well as to control pollution from those sources which cannot be prevented.The success of these programmes is evident today and we have an environment that compares well with that of any nation in the world.Plenary speaker.     

Policy Characterization of Ecosystem management

This paper provides a comparison of ecosystem management (EM) to the traditional regulatory management approach and outlines the characteristics of EM from a policy perspective, defining the conditions under which this management tool can be successfully implemented. Ecosystem management is a collaborative and integrative tool focused on balancing societal needs, economic growth, and environmental protection to ensure the long-term ecological integrity of a particular ecosystem. The characteristics of this particular tool include: (1) its holistic approach to environmental problems; (2) its integration of values (economic, social, and environmental) through a collaborative, multi-partner, decision making structure; (3) its reliance on science to guide decisions and set boundaries; and (4) its ability to learn from the implementation of decisions (adaptive management). Examples are draw from Environment Canada's various regional ecosystem initiatives.     

Risk management and integrated assessment

Integrated Assessment (IA) is the pursuit of a research program generated by the limitations of traditional forms of risk management. This claim can be justified by the following argument. Over the last decades, analysts and practitioners have brought to maturity a large array of tools for risk management. Most of them rely on combining judgments of utility with judgments of probability. This is the approach of the Rational Actor Paradigm (RAP). With many environmental problems, however, RAP‐based tools have run into considerable practical and theoretical difficulties. In response to these difficulties, a series of alternative approaches to practical risk management and to the theoretical understanding of risk have been elaborated. They try to embed the rational choices of individual actors studied by RAP into a broader framework of social rationality. This task can be approached by distinguishing situations where an actor holds unambiguous judgments of preference and probability from situations characterized by ambivalent judgments. RAP can handle the former, but not the latter. Problems whose management requires a combination of widely differing scientific disciplines are especially likely to involve ambivalent judgments of probability. The study of such problems constitutes the research program of integrated assessment. It involves three main tasks: developing IA models which can represent ambivalent expectations and evaluations, developing IA models which use such representations to study non‐marginal changes of social systems, and developing procedures of participatory IA which enable researchers to engage in an iterative exchange with various stakeholders. This revised version was published online in August 2006 with corrections to the Cover Date.     

Earth system analysis and management

A research strategy based upon models of intermediate complexity addressing crucial aspects of global environmental change is presented. The key idea behind that strategy is to compress system complexity either by formal techniques such that first-order aspects are preserved, or to employ semi-qualitative schemes to describe and simulate the dominant dynamical patterns identified by panoramic inspection.Specific realizations of the overall heuristic philosophy are introduced as elements of a comprehensive research program on global change. Topics encompass global climate modeling, a decision analysis framework for managing the global warming problem by balancing adaptation and mitigation efforts, a generic approach to integrated regional climate impact assessment and its implementation in specific regions, as well as a new technique to link regional and global patterns of environmental change by using advanced modeling tools.     

Benchmarking for best practice environmental management

Benchmarking of environmental performance to demonstrate theachievement of best practice environmental management is acomponent of a new form of licensing of industrialdischarges in Western Australia. The paper describes theapproaches to benchmarking for the critical environmentalissues for an alumina refinery and wastewater treatmentplant. It also describes the lessons learnt from thebenchmarking process on appropriate methods, the benefitsand difficulties in the benchmarking process, and changesthat would assist benchmarking for best practiceenvironmental management.     

An expert system for environmental data management

In this paper we show the possibility of using expert system tools for environmental data management. We describe the domain indenpendent expert system shell SAK and Knowledge EXplorer, a system which learns rules from data. We show the functionality of Knowledge EXplorer on an example of water quality evaluation.     

Cultured human-cell-based bioassay for environmental risk management

Among bioassays for evaluating various impacts of chemicalson humans and ecosystems, those based on culturedmammalian-cells can best predict acute lethal toxicity to humans. Weexpect them to be employed in the future in environmentalrisk management alongside mutagenicity tests and endocrine-disrupting activity tests. We recently developed adisposable bioassay device that immobilizes humanhepatocarcinoma cells in a small micropipette tip. Thisenables very quick (within 2 h) evaluation of acute lethaltoxicity to humans. For bioassay-based environmentalmanagement, 2 promising approaches have been demonstrated bythe US-EPA: toxicity identification evaluation (TIE) andtoxicity reduction evaluation (TRE). The Japanese Ministryof Environment has been supporting a multi-center validationproject, aimed at assembling a bioassay database. To makefull use of these resources, we present a numerical modelthat describes contribution of individual chemical toobserved toxicity. This will allow the selection of the mosteffective countermeasure to reduce the toxicity. Bioassay-based environmental risk management works retrospectively,whereas impact assessment using substance flow models andtoxicity databases works prospective. We expect that these 2approaches will exchange information, act complementarily,and work effectively in keeping our environment healthy inthe 21st century.     

Viability analysis of management frameworks for fisheries

The pressure on marine renewable resources has rapidly increased over past decades. The resulting scarcity has led to a variety of different control and surveillance instruments. Often they have not improved the current situation, mainly due to institutional failure and intrinsic uncertainties about the state of stocks. This contribution presents an assessment of different management schemes with respect to predefined constraints by utilizing viability theory. Our analysis is based on a bio-economic model which is examined as a dynamic control system in continuous time. Feasible development paths are discussed in detail. It is shown that participatory management may lead to serious problems if a purely resource-based management strategy is employed. The analysis suggests that a less risky management strategy can be implemented if limited data are available.     

Optimal monitoring and management of a water storage

The aim is to fill a water storage with potable water of a given quality, for subsequent treatment and distribution to a water conveying system. During a given period, a set of several pumping stations is working to deliver water from different sources at different locations. A multi-stage control process is considered whereby the total pumping time is divided into short sampling intervals. The intensity of pumping as a function of time is the control variable. It is assumed that there exists a reliable forecast of every pollutant as a function of time and water source. The amount of the pollutants are constrained in the final mass of water in the storage. The mass of water at the end of the operation period should be maximized. A linear programming (LP) model of the problem is described, and an algorithm of the reduction of its dimensionality is presented. An illustrative example is shown. A short conference version of this paper has been presented at 14th IEEE Mediterranean Conference on Control Automation, June 28–30 2006, Polytechnical University of Ancona, Ancona, Italy.     

Evolutionary consequences for ecological risk assessment and management

The human health risk assessment (HRA) paradigm is being used as a basis for developing ecological risk assessment (ERA). The modification of the HRA paradigm to ERA will be most useful in an ecotoxicological sense, to assess the effect of hazards to single indicator species and populations, rather than to ecosystems. However, even for single species and population assessments, there are major differences in HRA and ERA. One such difference derives from the HRA tenet that human impairment at any age is important, and that each individual is important. For ERA, individuals are less important, and it is the population and its survival and interactions that are of concern. One exception is in the case of endangered species where every individual is critical because of its potential impact on survival and genetic diversity of the species. We suggest that ERA must take into account the relative reproductive value of the potentially impacted individuals in assessing hazards. This will involve adding additional steps to evaluate the value of the individual to current population levels, assessing reproductive value, and assessing recovery potential. Although ecologists recognize the importance of these factors, we suggest that they should be integral parts of ecological risk assessment.     

和田地区环境监测质量管理工作初探

结合和田地区环境监测站环境监测质量管理现状，就提高环境监测质量管理水平，充分发挥其在环境管理中的基础性作用，初步探讨了环境质量管理的必要性和基本思路。     

煤矿矿井废水综合治理探讨

对煤矿矿井废水进行机械作用,实现清、污分离,清水回用,煤泥渣统一处理,使煤矿矿井废水实现零排放.     

Taraxacum species as environmental indicators for grassland management

A classification of the microspecies of the genus Taraxacum was made in a range from low to highly dynamic habitats based on qualitative inventories of grasslands under different management conditions. After several years of constant management, a characteristic species composition occurs. Under mowing (hayfield) conditions, dandelions disappear over a period of about twenty years in a sequence where the low-dynamic species T. adamii and T. nordstedtii are the last to vanish. Different microspecies in the section Vulgaria in one field can show small differences in response to environmental conditions, even where no other directly visible indication exists. New appearance of highly dynamic species can indicate disturbance of some kind or other within a relatively short period. The classification adopted seems to be correlated with the phosphate content of the soil. Differences in two easily perceptible morphological characteristics, namely position of the outer bracts and colour of the leaf-stem, fit into the established sequence. Small changes in these characteristics indicate conditions in the field that are improving or worsening from a nature-conservation point of view. A system is introduced in which merely these two morphological characters, without further taxonomical knowledge, can be used for an evaluation of grasslands and the impact of management practice.     

Artificial intelligence based e-waste management for environmental planning

Electronic waste is one of the world's rapidly increasing environmental issues because a wide range of toxic substances are not closely monitored that can pollute the atmosphere and affect health. This paper proposes an Artificial Intelligence Technique (AIT) for the analysis of hazardous pollutants in e-waste and their effects on the climate and human health and management policies in certain countries. Artificial Intelligence Techniques (AIT) are being developed for managing e-waste, especially based on prevailing strategies such as Life Cycle Assessment (LCA), Multi-Criteria Analysis (MCA), and Extended Producer Responsibility (EPR). In the e-waste management sector, eco-design systems must be created, e-waste properly processed, recycled, and reused content through safe methods, e-waste disposed of using appropriate techniques, used electronic devices cannot be transferred to developing countries, and the burden of e-waste should be increased. Artificial intelligence-based MCA and EPR is a reasonable approach to address the increasing problems with e-wastes.     

Cost effective management of stochastic coastal water pollution

This study develops a theoretical tool for investigating the impact on cost effective coastal water management from explicit treatment of: coastal pollutant transports, stochastic pollutant transports in the catchment areas, and wetlands as a pollutant abatement option. It is applied to a relatively well investigated estuary, Himmerfjärden, south of the Swedish capital, Stockholm. The theoretical results indicate that all three factors influence cost effective allocation of measures and associated design of economic instruments. The consideration of stochastic pollutant transports will increase costs, but the direction of influence of the other two factors cannot be determined without empirical support. The application to nitrogen transport in Himmerfjärden shows that, for target nitrogen reductions given in terms of a percentage of pre-abatement loads, the inclusion of coastal transports in the cost calculations lowers the estimated total costs for targets interpreted in terms of nitrogen loads to the marine water. The alternative investigated target interpretation was in terms of nitrogen loads to coastal waters. Depending on the ability of wetlands to abate nitrogen and to change the variance in pollutant load to the coastal recipients, costs are either increased or decreased as compared to when wetlands are excluded as nitrogen abatement options.     

Vegetated ditches as a management practice in irrigated alfalfa

The organophosphate (OP) insecticides diazinon and chlorpyrifos have been frequently detected in the San Joaquin River, California, USA. Irrigation tail waters are a significant source of OP pesticides in the watershed. This study tested several management practices for reducing offsite movement of chlorpyrifos to surface water from flood irrigated alfalfa. Management practices evaluated include (1) a constructed, vegetated irrigation tailwater return ditch and (2) increased lag time between chlorpyrifos application and start of flood irrigation. Chlorpyrifos concentrations in whole-water samples of irrigation runoff were variable and ranged from 0.22 mug/l to a maximum of 1.67 mug/l. The median concentration reduction at the end of a 200 m vegetated ditch was 38% compared to 1% in an adjacent conventional tail water ditch. Runoff data collected represented first flush runoff from sets that were irrigated between 48 and 144 h after chlorpyrifos application. There was no consistent effect of irrigation lag time on chlorpyrifos concentration in tailwater for lag times of up to 144 h. Consequently these data indicate that delayed irrigation is not an effective management practice for reducing chlorpyrifos off-site movement to surface water in California flood irrigated alfalfa.