Integrated employee scheduling with known employee demand, including breaks, overtime, and employee preferences

Soriano, Jhunievieve; Jalao, Eugene Rex; Martínez, Iris

doi:10.3926/jiem.3126

Cited by 6 publications

(4 citation statements)

References 20 publications

(31 reference statements)

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“…Penjadwalan yang optimal, akan memberikan keuntungan ke perusahaan seperti penjadwalan menjadi lebih efektif, peningkatan kinerja dan produktivitas dari karyawan, dan sebagainya Kiwanuka(2021), Soriano (2020)…”

Section: Pendahuluanunclassified

Penjadwalan staf PT. Adi Sarana Logistik Divisi Outbound Unit Picker dan Dispatcher berdasarkan Minimisasi Jam lembur

Silalahi,

Heryanto,

Hidayat

et al. 2023

Metris

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PT. Adi Sarana Logistik (PT ASL) is a company engaged in the warehouse and logistics sector, which delivers many packages daily. Previously, manual scheduling took a long time, and there were violations of working hours regulations. The research was conducted at the outbound division, in picker and dispatcher units for leaders and operational staff, where the number of operational staff varies each month, so there are four schedules were produced where this study aims to minimize overtime hours for each level of staffs and units by Goal Programming and Binary Integer Programming which are completed with LINGO 18.0. The results of this study have been implemented in the company, where the schedule only takes a few seconds, while previously, it took 1-2 days. The scheduling carried out in this study is in October 2022, where all employees for leaders and staff in each unit have 22 working days, nine days off, 1 hour of overtime, and follow the rules.

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Section: Pendahuluanunclassified

Penjadwalan staf PT. Adi Sarana Logistik Divisi Outbound Unit Picker dan Dispatcher berdasarkan Minimisasi Jam lembur

Silalahi,

Heryanto,

Hidayat

et al. 2023

Metris

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“…This approach to fulfilling the demand requirement is usually modelled based on the set-covering employee scheduling problem formulation proposed by (Dantzig, 1954). An overview of some issues pertaining to these problem contexts may be found in research (Soriano et al, 2020). Among the pool of research specific to the non-conventional and remote locations in the petroleum sector, several research papers may be noted (Hermeto, Ferreira, & Bahiense, 2014;Bastos, Fleck, & Martinelli, 2020;Vieira et al, 2021;De La Vega et al, 2022).…”

Section: Overview Of the Research Areamentioning

confidence: 99%

Employee scheduling and maintenance planning for safety systems at the remotely located oil and gas industrial facilities

Redutskiy

Balycheva²,

Dybdahl

2022

Engineering Management in Production and Services

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The safety of operations is vital in any process in the oil and gas sector, especially given that increasingly more hydrocarbon reserves are discovered in non-conventional remote and Arctic locations. Safety systems are designed as a part of a complex IT system for process control. The design of these systems is conducted in the form of an engineering project. This research presents a decision-making framework to facilitate formulating clear and comprehensive recommendations for the requirements specification developed for the safety systems. The contribution of this research to the strategic planning area of IT solutions for hazardous industrial facilities is integrating the problems of designing a safety system, planning its maintenance, and scheduling the employees to conduct the required maintenance. With this joint decision-making, it is possible to explore trade-offs between investments into the systems’ complexity and workforce-related expenditures throughout the solution’s lifecycle. The reliability modelling is conducted with the help of Markov analysis. The multi-objective decision-making framework is employed to deduce straightforward requirements to the safety system design, maintenance strategy, and workforce organisation. This research is relevant to managing the petroleum sector engineering projects with regard to the design of technological solutions.

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“…The author provided numerical experiments to validate their results. Recent works (Fontinha et al, 2019;Pasupa and Suzuki, 2019;Soriano et al, 2020;Abdul Halim et al, 2021;Chiu et al, 2021;Keyvanshokooh et al, 2021) investigated the impact of different subcontracting and overtime policies on different fabrication-inventory systems, supply chains, and business operating controls. Fewer past works specifically focused on investigating the impact of external suppliers, postponement, overtime, and scrap on the multiproduct fabrication problem; we aim to bridge this gap.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling for a multiproduct manufacturing system featuring postponement, external suppliers, overtime, and scrap

Chiu¹,

Lian²,

Chiu³

et al. 2022

10.5267/j.ijiec

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Manufacturing firms operating in today’s competitive global markets must continuously find the appropriate manufacturing scheme and strategies to effectively meet customer needs for various types of quality of merchandise under the constraints of short order lead-time and limited in-house capacity. Inspired by the offering of a decision-making model to aid smooth manufacturers’ operations, this study builds an analytical model to expose the influence of the outsourcing of common parts, postponement policies, overtime options, and random scrapped items on the optimal replenishment decision and various crucial system performance indices of the multiproduct problem. A two-stage fabrication scheme is presented to handle the products’ commonality and the uptime-reduced strategies to satisfy the short amount of time before the due dates of customers’ orders. A screening process helps identify and remove faulty items to ensure the finished lot’s anticipated quality. Mathematical derivation assists us in finding the manufacturing relevant total cost function. The differential calculus helps optimize the cost function and determine the optimal stock-replenishing rotation cycle policy. Lastly, a simulated numerical illustration helps validate our research result’s applicability and demonstrate the model’s capability to disclose the crucial managerial insights and facilitate manufacturing-relevant decision making.

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Integrated employee scheduling with known employee demand, including breaks, overtime, and employee preferences

Cited by 6 publications

References 20 publications

Penjadwalan staf PT. Adi Sarana Logistik Divisi Outbound Unit Picker dan Dispatcher berdasarkan Minimisasi Jam lembur

Penjadwalan staf PT. Adi Sarana Logistik Divisi Outbound Unit Picker dan Dispatcher berdasarkan Minimisasi Jam lembur

Employee scheduling and maintenance planning for safety systems at the remotely located oil and gas industrial facilities

Mathematical modeling for a multiproduct manufacturing system featuring postponement, external suppliers, overtime, and scrap

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