Purpose
It is essential to provide drinking water to affected population directly after a disaster. The purpose of this paper is to develop an optimization methodology that helps in the distribution of drinking water in post-disaster situations.
Design/methodology/approach
The research was conducted on two phases: phase 1 aims at identifying an appropriate way to deliver drinking water to refugee camps from external sources, considering required drinking water quantities and four possible sources of water with respect to cost and risk assessments. Phase 2 investigates drinking water distribution within a refugee camp using covering models. The MCLP–optimal number of facilities model is proposed to ensure that the water is distributed and delivered to all individuals in a camp with minimum number of water storage tanks required. A control policy is proposed to ensure the fair distribution of water to all targeted individuals.
Findings
Al-Za’atari refugee camp, located in northeast of Jordan, was considered as the case study for this research. The result showed that the appropriate way to deliver water to the camp is by using tanker–trucks, and a minimum number of five tanks are required to distribute water to individuals inside the camp with respect to tank locations and the allocation of tank of each area.
Originality/value
The proposed methodology is essential in decision making for the distribution of drinking water in refugee camps in short-term needs. The model adds important value to the literature as the proposed problem has no solution in the literature before.
PurposeThe purpose of this paper is to present the results on a model for manufacturing under the constraints and conditions of mass customization environment.Design/methodology/approachThe proposed model is based on manufacturing features and entails the concept of modular design. That is, manufacturing features are identified and analyzed in a way that enables the generation of what is called “manufacturing core”. Manufacturing cores are semi‐finished products that have certain manufacturing features. The core can be used to manufacture a range of products after conducting certain manufacturing processes. Manufacturing cores are generated through two phases of optimization. The first phase is known as product's manufacturing features analysis which includes starting features identification. The second phase is known as manufacturing cores formation that ends with generation of manufacturing cores.FindingsThe methodology is implemented on real products (flanges) as a case study. The proposed model for mass customization is compared at make‐to‐stock and make‐to‐order policies in terms of a burden which includes the time and the cost that are required to fulfil a production order. Applying the proposed model of mass customization entails the minimum total burden required.Research limitations/implicationsWhen the number of generic and variant features increases, an automated feature‐recognition module or sub‐system is required to facilitate the extraction of manufacturing features.Practical implicationsThe proposed methodology is used for design of customized product through the application of integrated design for modularity and mass customization approach for production.Originality/valueThe proposed methodology entails development of semi‐finished products based on manufacturing features that can be used for design and manufacturing of a range of products.
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