Some scheduling problems with sum of logarithm processing times based learning effect and exponential past sequence dependent delivery times

Mehmet Duran Toksari; Emel Kizilkaya Aydogan; Berrin Atalay; Saziye Sari

doi:10.3934/jimo.2021044

Article Contents

2022, Volume 18, Issue 3: 1795-1807. Doi: 10.3934/jimo.2021044

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Some scheduling problems with sum of logarithm processing times based learning effect and exponential past sequence dependent delivery times

Department of Industrial Engineering, Faculty of Engineering, Erciyes University, 38039, Turkey

^* Corresponding author: Mehmet Duran Toksari
^* Corresponding author: Mehmet Duran Toksari

Received: August 31, 2020

Revised: November 30, 2020

Published: May 2022

The first author is supported by Scientific Research Fund of Erciyes University grant: FBA-2014-5397

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Abstract

In recent years, significant on the past sequence dependent delivery times have been increasing for scheduling problems. An electronic component when waiting to process may be exposed to certain an electromagnetic field and is required to neutralize the effect of electromagnetism. In this case, it needs an extra time to eliminate adverse effect. In the scheduling literature, this extra time is called as past-sequence-dependent delivery times. In this paper we introduce single-machine scheduling problems with an exponential sum-of-actual-processing-time-based delivery times. By the exponential sum-of-actual-processing-time-based delivery times, we mean that the delivery times are defined by an exponential function of the sum of the actual processing times of the already processed jobs. On the other hand, the learning effect is reflected in decreasing processing times based on the job's position in schedule. In this paper, we also introduce both exponential past sequence dependent delivery times and learning effect where the job processing time is a function based on the sum of the logarithm of processing times of jobs already processed. We show that the single-machine scheduling problems to minimize makespan, total completion time, weighted total completion time and maximum tardiness with sum of logarithm processing times based learning effect and exponential past sequence dependent delivery times have polynomial time solutions.

Keywords:

Scheduling,
learning effect,
exponential past sequence dependent delivery times,
logarithm processing times,
single machine.

Mathematics Subject Classification: Primary: 58F15, 58F17; Secondary: 53C35.

Citation:

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Figure 1. The gantt chart for Example 1

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Figure 2. The gantt chart for Example 2

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Figure 3. The Gantt chart for the practical application

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Table 1. The results for Example 1

$ p_{j[r]} $		$ q_{psd} $		$ C_{i[r]} $		$ T_{i[r]} $
$ p_{2[1]} $	6.00			$ C_{2[1]} $	6	$ T_{2[1]} $	0
$ p_{2[1]} $	4.79			$ C_{1[2]} $	10.79	$ T_{1[2]} $	0
$ p_{3[3]} $	4.08			$ C_{3[3]} $	14.87	$ T_{3[3]} $	4.87
$ p_{5[4]} $	3.76			$ C_{5[4]} $	18.63	$ T_{5[4]} $	9.63
$ p_{4[5]} $	3.92	$ q_{psd} $	14.51	$ C_{4[5]} $	$ C_{4[5]} $ 22.5+14.51=37.06	$ T_{4[5]} $	30.06

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Table 2. The results for Example 2

$ p_{j[r]} $		$ q_{psd} $		$ C_{i[r]} $		$ T_{i[r]} $
$ p_{2[1]} $	6.00			$ C_{2[1]} $	6	$ T_{2[1]} $	78
$ p_{2[1]} $	4.79			$ C_{1[2]} $	10.79	$ T_{1[2]} $	97.11
$ p_{3[3]} $	4.08			$ C_{3[3]} $	14.87	$ T_{3[3]} $	104.09
$ p_{5[4]} $	3.76			$ C_{5[4]} $	18.63	$ T_{5[4]} $	93.15
$ p_{4[5]} $	3.92	$ q_{psd} $	14.51	$ C_{4[5]} $	$ C_{4[5]} $ 22.5+14.51=37.06	$ T_{4[5]} $	111.18

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Table 3. Laptop components of processing times and due dates

Job	Part Name	Processing Time	Due Date
1	CPU/GPU	24	9
2	IC Chip	6	35
3	Oscillator	9	25
4	Copper coil	12	20
5	Capacitor	70	5
6	Card slot	15	10
7	Ports	25	8
8	Cooling fan	42	6
9	Sub-PCB	35	7

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Table 4. The results for Example 2

$ p_{j[r]} $		$ q_{psd} $		$ C_{i[r]} $		$ T_{i[r]} $
$ p_{2[1]} $	6.00			$ C_{2[1]} $	6	$ T_{2[1]} $	0
$ p_{3[2]} $	5.39			$ C_{3[2]} $	11.39	$ T_{3[2]} $	0
$ p_{4[3]} $	5.37			$ C_{4[3]} $	16.76	$ T_{4[3]} $	0
$ p_{6[4]} $	5.49			$ C_{6[4]} $	22.25	$ T_{6[4]} $	12.25
$ p_{1[5]} $	7.52			$ C_{1[5]} $	29.77	$ T_{1[5]} $	20.77
$ p_{7[6]} $	6.84			$ C_{7[6]} $	36.61	$ T_{7[6]} $	28.61
$ p_{9[7]} $	8.60			$ C_{9[7]} $	45.20	$ T_{9[7]} $	38.20
$ p_{8[8]} $	9.36			$ C_{8[8]} $	54.56	$ T_{8[8]} $	48.56
$ p_{9[9]} $	14.33	$ q_{psd} $	84.68	$ C_{9[9]} $	68.89+84.68=153.57	$ T_{9[9]} $	63.89

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