Increasing Sustainability of Logistic Networks by Reducing Product Losses: A Network DEA Approach

Increasing Food Availability by Reducing Postharvest Losses of Fresh Produce

Qualitative losses (such as loss of caloric and nutritive value, loss of acceptability by consumers, and loss of edibility) are more difficult to measure than quantitative losses of fresh fruits and vegetables. While reduction of quantitative losses is a higher priority than qualitative losses in developing countries, the opposite is true in developed countries where consumer dissatisfaction wi...

Increasing Energy Efficiency by Reducing Losses and Promoting Value Propositions

network of phonological rules in lori dialect of andimeshk: a study within the framework of post-generative approach.

پژوهش حاضر ارائه ی توصیفی است از نظام آوایی گویش لری شهر اندیمشک، واقع در شمال غربی استان خوزستان. چهارچوب نظری این پژوهش، انگاره ی پسازایشی جزءمستقل می باشد. این پایان نامه شامل موارد زیر است: -توصیف آواهای این گویش به صورت آواشناسی سنتی و در قالب مختصه های زایشی ممیز، همراه با آوانوشته ی تفصیلی؛ -توصیف نظام آوایی گویش لری و قواعد واجی آن در چهارچوب انگاره ی پسازایشی جزءمستقل و معرفی برهم کن...

Network DEA: A Modified Non-radial Approach

DEA is a non-parametric and linear programming based technique that attempts to maximize a decision making unit’s (DMUs) relative efficiency, expressed as a ratio of outputs to inputs, by comparing a particular unit’s efficiency with the performance of a group of similar DMUs that are delivering the same service. The traditional DEA models treat DMUs as black boxes whose internal structure is i...

Network DEA: A slacks-based measure approach

Traditional DEA models deal with measurements of relative efficiency of DMUs regarding multiple-inputs vs. multiple-outputs. One of the drawbacks of these models is the neglect of intermediate products or linking activities. After pointing out needs for inclusion of them in DEA models, we propose a slacks-based network DEA model that can deal with intermediate products. Using this model we can ...