Innovative Interventions with Alcohol Problems in Rural Areas: An Indian Experience and its Relevance to Rural America

Conventional interventions used to address the complex problems of substance abuse call for multifaceted approaches reflecting the diverse backgrounds of affected populations. In this paper the rural context is highlighted as an asset in contributing to sustainable recovery from alcohol problems. Against the background of comparing two international rural contexts and recognizing shared identities, a case is made for transfer of knowledge east to west. The success elements of a unique approach to intervention with problems associated with excessive drinking in rural areas of South India, based on the experiences of Community-Based Rehabilitation camps is described. Spanning two decades of systematic implementation, the camps utilize existing community resources for planning, execution, and follow-up of treatment while simultaneously creating greater awareness about alcohol abuse through community education. After a critical examination of prevailing treatment options for problem drinking in rural America, inter-country analysis reveals contextual similarities between rural America and rural South India based on community-orientation, cost-containment, and social capital formation with implications for rural social work intervention with alcohol problems in the United States.

Fuzzy Multi-Objective Linear Programming and Simulation Approach to the Development of Valid and Realistic Master Production Schedule

Master production schedule (MPS) plays an important role in an integrated production planning system. It converts the strategic planning defined in a production plan into the tactical operation execution. The MPS is also known as a tool for top management to control over manufacture resources and becomes input of the downstream planning levels such as material requirement planning (MRP) and capacity requirement planning (CRP). Hence, inappropriate decision on the MPS development may lead to infeasible execution, which ultimately causes poor delivery performance. One must ensure that the proposed MPS is valid and realistic for implementation before it is released to real manufacturing system. In practice, where production environment is stochastic in nature, the development of MPS is no longer simple task. The varying processing time, random event such as machine failure is just some of the underlying causes of uncertainty that may be hardly addressed at planning stage so that in the end the valid and realistic MPS is tough to be realized. The MPS creation problem becomes even more sophisticated as decision makers try to consider multi-objectives; minimizing inventory, maximizing customer satisfaction, and maximizing resource utilization. This study attempts to propose a methodology for MPS creation which is able to deal with those obstacles. This approach takes into account uncertainty and makes trade off among conflicting multi-objectives at the same time. It incorporates fuzzy multi-objective linear programming (FMOLP) and discrete event simulation (DES) for MPS development.