Analisa Variabel Kritis Yang Paling Mempengaruhi Supply Chain Agility Dengan Metode Ism Dan Sem-Pls (Studi Kasus : PT. Semen Gresik)

Retnani, Prima Esti (2010) Analisa Variabel Kritis Yang Paling Mempengaruhi Supply Chain Agility Dengan Metode Ism Dan Sem-Pls (Studi Kasus : PT. Semen Gresik). Other thesis, Institut Teknologi Sepuluh Nopember Surabaya.

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Abstract

Kebutuhan dan selera akan berbagai macam produk yang diinginkan oleh konsumen cepat berubah dan sulit untuk diprediksi. Dalam koodisi yang selalu berubah konsume menuntut agar perusahaan merespon permintaanya dalam waktu yang singkat. lnilah yang menyebabkan persaingan antar perusahaan menjadi sangat ketal, perusahaan yang dapat merespon permintaan konsumen dengan waktu yang tercepat maka perusahaan tersebut akan memenangkan mengetahui variabel paling kritis yang mempengaruhi supply chain agility perusahaan dengan menggunakan metode software SmartPLS. Hasil dari penelitian ini adalah, model hirarki ISM pada penelitian ini terbagi menjadi 3 level. Top level terdiri dari variabel Perencanaan Kolaboratif yang Terpusat, lntegrasi Proses, Penggunaan Teknologi lnfonnasi, Perbaikan Tingk:at Pelayanan. Minimasi Biaya, Kepuasan Pelanggan, dan Peogembangan Kepercayaan. Middle level terdiri dari variabel Sensitivitas Pasar, Kecepatan Pengantaran, Akurasi Data, Perbaikan Kualitas,dan Minimasi Ketidakpastian. Dan bottom level terdiri dari variabel Pengurangan Lead Time dan variabel Minimasi Perlawanan untuk Berubah. Untuk meningkatkan performansi supply chain perusahaan adalah dengan mengoptimalkan selurub variabel ternebut, dimulai dari bottom level kemudian middle level dan selanjutnya adalah top level yang langsuog berpengaruh terhadap supply chain agility
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The needs and tastes for various products desired by consumers change quickly and are difficult to predict. In ever-changing conditions, consumers demand that companies respond to their requests in a short time. This is what causes competition between companies to become very intense, the company that can respond to consumer demand in the fastest time will win by knowing the most critical variables that influence the company's supply chain agility using the SmartPLS software method. The results of this research are that the ISM hierarchical model in this research is divided into 3 levels. The top level consists of the variables Centralized Collaborative Planning, Process Integration, Use of Information Technology, Improvement of Service Levels. Cost Minimization, Customer Satisfaction, and Trust Development. The middle level consists of the variables Market Sensitivity, Delivery Speed, Data Accuracy, Quality Improvement, and Minimization of Uncertainty. And the bottom level consists of the Lead Time Reduction variable and the Minimization Resistance to Change variable. To improve a company's supply chain performance, it is necessary to optimize all of these variables, starting from the bottom level, then the middle level and then the top level, which directly influences supply chain agility

Item Type:	Thesis (Other)
Additional Information:	RSI 658. 7 Red a-1 2010
Uncontrolled Keywords:	Supply Chain Agility. Interpretive Structural Modeling, Structural Equation Modeling - Partial Least Square (PLS); Supply Chain Agility, Interpretive Structural Modeling, Structural Equation Modeling - Partial Least Square (PLS)
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP H Social Sciences > HD Industries. Land use. Labor > HD55 Inventory control
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	EKO BUDI RAHARJO
Date Deposited:	09 Nov 2023 02:48
Last Modified:	09 Nov 2023 02:48
URI:	http://repository.its.ac.id/id/eprint/105094

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