A framework of hiring strategy for manpower hiring in a hyper-local food delivery organization

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Debadyuti Das ◽  
Chirag Yadav
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Local Food ◽  
Service Level ◽  
Food Delivery ◽  
Optimum Number ◽  
Content Type ◽  
Integer Programming Model ◽  
Cost Efficient ◽  
The Cost

PurposeThe present work attempts to determine an appropriate number of different categories of Delivery Persons for a Hyper-local Food Delivery Organization for different intervals within a day and across days within a week which would provide a satisfactory level of service to the target customers and at the same time would become cost-efficient.Design/methodology/approachCurrently the firm estimates the required number of Delivery Persons for “lunch peak” and “dinner peak” of the next week's weekdays and weekend based on the maximum number of orders occurring during the same period of both weekdays and weekend in the current week. The proposed approach involves determining the projected demand in every four-hourly interval of both week-days and weekend in the next week. Subsequently, the study has developed a simple integer programming model for determining the optimum number of Delivery Persons based on the projected demand data.FindingsThe existing approach followed by the firm indicates that the Delivery Persons remain unutilized during periods of low demand. The proposed model demonstrated savings to the tune of 21.4% in manpower cost without any erosion in the service level.Originality/valueThe study has made three tangible contributions. First, the development of a simple methodology for estimating the demand of next period allows the Managers to utilize dynamic demand data. Second, the development of a simple integer programming model helps managers determine an appropriate number of Delivery Persons in different intervals in both weekdays and weekend. Third, the development of a framework of hiring strategy aids managers in adopting a particular hiring strategy under a particular context keeping in mind the magnitude of demand for food, demand for delivery service and the cost of providing the service.

A bicriteria integer programming model for the hierarchical workforce scheduling problem

2010 ◽  
Vol 5 (1) ◽  
pp. 54-62 ◽  
Author(s):  
Rafael Pastor ◽  
Albert Corominas
Keyword(s):  
Integer Programming ◽  
Design Methodology ◽  
Programming Model ◽  
Task Assignment ◽  
Scheduling Problem ◽  
Workforce Scheduling ◽  
Content Type ◽  
Integer Programming Model ◽  
The Cost ◽  
S Model

PurposeThe purpose of this paper is to propose a bicriteria integer programming model for hierarchical workforce scheduling in which the first criterion is the cost and the second is the suitability of task assignment to individual employees. The model is based on the integer programming formulation for the hierarchical workforce scheduling problem published in 2007 by Seçkiner et al., which extends the model proposed by Billionnet in 1999.Design/methodology/approachThe principal hypothesis of this paper is that, although an employee is capable of performing several different tasks with equal efficiency, the type of task to which he/she is assigned affects the overall suitability of the assignment configuration. Therefore, cost‐minimising solutions should also optimise task assignment when possible. This paper considers real cases and confirm that this approach to the problem is appropriate for dealing with common situations in personnel management.FindingsThe proposed idea is applied to the example problem used by Seçkiner et al. and the results are compared with Seçkiner et al.'s model results.Originality/valueConsequently, the proposal is more general and a more faithful representation of the problems faced by personnel managers, which should help to bridge the gap between academic studies and practical cases.

A multi-objective approach to design strategic supply chains and develop responsiveness- efficiency frontiers

2018 ◽  
Vol 29 (1) ◽  
pp. 365-386 ◽  
Author(s):  
Raed AlHusain ◽  
Reza Khorramshahgol
Keyword(s):  
Supply Chain ◽  
Integer Programming ◽  
Programming Model ◽  
Efficient Frontier ◽  
Decision Makers ◽  
Binary Integer Programming ◽  
Content Type ◽  
Strategic Fit ◽  
Cost Efficient ◽  
Alternative Solutions

Purpose The purpose of this paper is twofold. Initially, a multi-objective binary integer programming model is proposed for designing an appropriate supply chain that takes into consideration both responsiveness and efficiency. Then, a responsiveness-cost efficient frontier is generated for the supply chain design that can help organizations find the right balance between responsiveness and efficiency, and hence achieve a strategic fit between organizational strategy and supply chain capabilities. Design/methodology/approach The proposed SC design model used both cross-functional and logistical SC drivers to build a binary integer programming model. To this end, various alternative solutions that correspond to different SC design portfolios were generated and a responsiveness-cost efficient frontier was constructed. Findings Various alternative solutions that correspond to different SC designs were generated and a responsiveness-cost efficient frontier was constructed to help the decision makers to design SC portfolios to achieve a strategic fit between organizational strategy and SC capabilities. Practical implications The proposed methodology enables the decision makers to incorporate both qualitative and quantitative judgements in SC design. The methodology is easy to use and it can be readily implemented by a software. Originality/value The proposed methodology allows for subjective value judgements of the decision makers to be considered in SC design and the efficiency-responsiveness frontier generated by the methodology provides a trade-off to be used when choosing between speed and cost efficiency in SC design.

scholarly journals REDESIGNING THE ASSIGNMENT OF INTERNAL AUDITORS BASED ON AUDITOR UTILITY

2016 ◽  
Vol 4 (3) ◽  
pp. 246-259
Author(s):  
BURCU KARAÖZ
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Ahp Method ◽  
Utility Level ◽  
Total Utility ◽  
Integer Programming Model ◽  
Internal Auditors ◽  
The Cost ◽  
Novel Model

This study presents a novel model for assignment of internal auditors to branches of businesses. Previous studies have concerned with minimizing the cost but in this model, aim is maximizing auditor’s utility. For this purpose an integer programming model introduced. The objective is maximizing the auditors’ total utility. Each branch has different impact values for auditors, which indicate auditors’ utility level in terms of location, size and type of branches. Also to keep the balance of auditor’s working days and total gained impact values particular constraints are defined for the integer programming model. This implementation has 3 particular steps; first is quantification of the branches’ effects on the auditors. AHP method is used to define branches’ impact values. The second is simulating the durations of auditing process. To minimize the effect of abnormal situations, durations are simulated. Last step is to reach the rotation of auditors, total working days and the total utility of the auditor; the integer programming model is solved by Python-Gurobi Optimizer.

scholarly journals A Fuzzy Integer Programming Model to Locate Temporary Medical Facilities as Part of Pre-Disaster Management

2019 ◽  
Vol 10 (1) ◽  
pp. 21-40
Author(s):  
Berk Ayvaz ◽  
Ali Osman Kuşakcı
Keyword(s):  
Integer Programming ◽  
Disaster Response ◽  
Large Scale ◽  
Planning Process ◽  
Programming Model ◽  
First Aid ◽  
Optimum Number ◽  
Integer Programming Model ◽  
Earthquake Scenario ◽  
Response Planning

The number and the scale of natural disasters have drastically increased over the last decades. One of the most vital stages of disaster preparedness is disaster response planning, and it plays an important role in limiting material and immaterial consequences, such as those caused by large scale earthquakes. In order to minimize human suffering and death, the aim of establishing a well-designed humanitarian relief chain must be to provide medicine, water, shelter, emergency food and supplies to the affected areas. From a holistic perspective, providing timely first aid and rapid transfer of injured victims to a medical facility is one of the most essential component of such chain. Thus, the location of first aid hospitals must be determined following a careful thought and planning process. This study presents a fuzzy integer programming model to determine the best location of the temporary hospitals which are expected to support extant state hospitals after a major earthquake. This study applies the proposed fuzzy model to the Üsküdar province of Istanbul and identifies optimum number and locations of field hospitals for a severe earthquake scenario.

scholarly journals REDESIGNING THE ASSIGNMENT OF INTERNAL AUDITORS BASED ON AUDITOR UTILITY

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
BURCU KARAÖZ
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Ahp Method ◽  
Utility Level ◽  
Total Utility ◽  
Integer Programming Model ◽  
Internal Auditors ◽  
The Cost ◽  
Novel Model

This study presents a novel model for assignment of internal auditors to branches of businesses. Previous studies have concerned with minimizing the cost but in this model, aim is maximizing auditor’s utility. For this purpose an integer programming model introduced. The objective is maximizing the auditors’ total utility. Each branch has different impact values for auditors, which indicate auditors’ utility level in terms of location, size and type of branches. Also to keep the balance of auditor’s working days and total gained impact values particular constraints are defined for the integer programming model. This implementation has 3 particular steps; first is quantification of the branches’ effects on the auditors. AHP method is used to define branches’ impact values. The second is simulating the durations of auditing process. To minimize the effect of abnormal situations, durations are simulated. Last step is to reach the rotation of auditors, total working days and the total utility of the auditor; the integer programming model is solved by Python-Gurobi Optimizer.

scholarly journals Reshuffle minimisation to improve storage yard operations efficiency

2021 ◽  
Vol 15 ◽  
pp. 174830262199401
Author(s):  
Hammed Bisira ◽  
Abdellah Salhi
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Heuristic Approach ◽  
Container Terminals ◽  
Exact Method ◽  
Computational Results ◽  
Binary Integer Programming ◽  
Integer Programming Model ◽  
Compatibility Test ◽  
Storage Area

There are many ways to measure the efficiency of the storage area management in container terminals. These include minimising the need for container reshuffle especially at the yard level. In this paper, we consider the container reshuffle problem for stacking and retrieving containers. The problem was represented as a binary integer programming model and solved exactly. However, the exact method was not able to return results for large instances. We therefore considered a heuristic approach. A number of heuristics were implemented and compared on static and dynamic reshuffle problems including four new heuristics introduced here. Since heuristics are known to be instance dependent, we proposed a compatibility test to evaluate how well they work when combined to solve a reshuffle problem. Computational results of our methods on realistic instances are reported to be competitive and satisfactory.

scholarly journals Allocating Students to Industry Placements Using Integer Programming and Ant Colony Optimisation

Algorithms ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 219
Author(s):  
Dhananjay Thiruvady ◽  
Kerri Morgan ◽  
Susan Bedingfield ◽  
Asef Nazari
Keyword(s):  
Integer Programming ◽  
Gender Equity ◽  
Programming Model ◽  
Original Data ◽  
Ant Colony ◽  
Ant Colony Optimisation ◽  
Integer Programming Model ◽  
Problem Instances ◽  
Work Integrated Learning ◽  
Time Required

The increasing demand for work-ready students has heightened the need for universities to provide work integrated learning programs to enhance and reinforce students’ learning experiences. Students benefit most when placements meet their academic requirements and graduate aspirations. Businesses and community partners are more engaged when they are allocated students that meet their industry requirements. In this paper, both an integer programming model and an ant colony optimisation heuristic are proposed, with the aim of automating the allocation of students to industry placements. The emphasis is on maximising student engagement and industry partner satisfaction. As part of the objectives, these methods incorporate diversity in industry sectors for students undertaking multiple placements, gender equity across placement providers, and the provision for partners to rank student selections. The experimental analysis is in two parts: (a) we investigate how the integer programming model performs against manual allocations and (b) the scalability of the IP model is examined. The results show that the IP model easily outperforms the previous manual allocations. Additionally, an artificial dataset is generated which has similar properties to the original data but also includes greater numbers of students and placements to test the scalability of the algorithms. The results show that integer programming is the best option for problem instances consisting of less than 3000 students. When the problem becomes larger, significantly increasing the time required for an IP solution, ant colony optimisation provides a useful alternative as it is always able to find good feasible solutions within short time-frames.

Research on the Freight Station Layout

2013 ◽  
Vol 380-384 ◽  
pp. 4506-4510
Author(s):  
Miao Du ◽  
Yong Qin ◽  
Zi Yang Wang ◽  
Zhong Xin Zhao ◽  
Hong Fei Yu ◽  
...  
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Programming Model ◽  
Rapid Expansion ◽  
Mixed Integer ◽  
Railway Stations ◽  
Integer Programming Model ◽  
Rail Freight ◽  
Mixed Integer Programming Model ◽  
Train Operation

At present, there are many problems existing in railway stations, such as excessive numbers and over-crowded layout, which seriously affect the scale benefit generation and rapid expansion of rail freight capacity. Aimed at these problems, a Mixed Integer programming model is proposed. Taking Lanzhou train operation depot for example, applying lingo software, the layout of freight station is obtained.

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