Debris management is one of the most time consuming and complicated activities among post-disaster operations. clearance aimed at pushing debris to sides roads so that relief distribution search-and-rescue operations can be maintained in a timely manner. Given limited resources, uncertainty, urgency during disaster response, efficient effective planning achieve connectivity between demand supply important. In this paper, we define stochastic problem (SDCP), which captures situations where...

Debris generated by disasters can hinder relief efforts and result in devastating economic, environmental, health problems. In this study, we present a decision‐support tool employing analytical models to assist disaster waste management officials with decisions regarding collection, transportation, reduction, recycling, disposal of debris. The enables optimizing balancing the financial environmental costs, duration collection operations, landfill usage, amount recycled materials. addition...

Planning for response to sudden-onset disasters such as earthquakes, hurricanes, or floods needs take into account the inherent uncertainties regarding disaster and its impacts on affected people well logistics network. This article focuses design of a multi-echelon humanitarian network, where pre-disaster decisions warehouse location item pre-positioning are subject in relief demand vulnerability roads facilities following disaster. Once strikes, transportation is accompanied by...

ABSTRACT The rapid adoption of omni‐channel strategies has prompted grocery retailers to reconfigure their back‐end fulfillment operations efficiently and effectively meet the demands online offline retail channels. Viewing in as a complex adaptive system, we present an eight‐year multi‐method case study UK leading global retailer. Over this period share sales significantly grew proportion overall sales. We observe four evolutions system respond operational associated with increasing Complex...

Debris generated by disasters can hinder relief efforts and result in devastating economic, environmental health problems. In this paper, we present a decision-support tool to assist disaster waste management officials with the collection, transportation, reduction, recycling, disposal of debris. The enables optimizing balancing financial costs, duration removal operations, landfill usage, amount recycled materials generated. It support post-disaster operational decisions as well challenging...

In many real-life routing problems, incorporating the negative effects of turns is an important, but often overlooked aspect. This especially true for order picking in warehouses, where making not only decreases efficiency by reducing speed vehicle, it also results other unquantifiable such as vehicle tipovers, increased congestion and risk collision with pedestrians or vehicles. this paper, we consider problem a parallel-aisle warehouse taking into account number effect turns. particular,...

In this paper, we consider the order picking problem (OPP), which constitutes one of special cases Steiner travelling salesperson and addresses costliest operation in a warehouse. Given list items to be picked their locations warehouse layout, OPP aims find shortest route that starts from depot point, picks all list, returns depot. This paper fills two important gaps regarding OPP. First, best our knowledge, present first complexity results on problem. Second, propose heuristic approach...

Abstract Chemotherapy appointment scheduling is a challenging problem due to the uncertainty in premedication and infusion durations. In this paper, we formulate two‐stage stochastic mixed integer programming model for chemotherapy under limited availability of nurses chairs. The objective minimize expected weighted sum nurse overtime, chair idle time, patient waiting time. computational burden solve real‐life instances optimality significantly high, even deterministic case. To overcome...

In both manual and automated warehouses, a combination of efficient zoning picker routing plays an important role in improving travel time, congestion, system throughput. This paper considers the order problem dynamic synchronised environment, where items corresponding to each customer are picked simultaneously multiple zones, zones may change between different orders. The objective is minimise maximum time completing picking activities any zone. Using min–max type not only minimises...

Application of defect predictors in software development helps the managers to allocate their resources such as time and effort more efficiently cost effectively test certain sections code. In this research, we have used naive Bayes classifier (NBC) construct our prediction framework. Our proposed framework uses hierarchical structure information about source code product, perform at a functional method level file level. We applied model on SoftLAB Eclipse datasets. measured performance...

Small warehouses generally have different needs than large warehouses. They usually do not warehouse management systems that are data intensive and involve high capital investment. Operational procedures more nebulous control is less rigid. Because of the difference in operational approach, measures needed order to enhance productivity. This paper describes results insights gained from a study inventory operations at an industrial distributor maintenance repair items. The accuracy efficiency...