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"Competition in the future is not company to company, but among supply chain to supply chain.This study based on the fenomena that production process has result very much goods, theproblem about how to deliver goods or services to end customer with optimal and on timedelivery. Company, especially on small businesses must identify their intregration with supplierand customer. The integration concern can be based on customer, supplier, or both. Thisfirst study is to identify the type of integration among the small business. The second studyis to investigat the relationship between integration concern and corporate performance, andfinally the study is designed to understand differences among integration concern. Populationin this study is small businesses Semarang Municipality. Sample for this study are 59 smallbusinesses. Companies were selected by cluster sampling technique. Method of data iscollected by questioner given directly to company and deep interview with the owners. Analyzeused by descriptive analysis and Kruskal Wallis test. The result indicate that almost all the smallbusiness have periphery facing integration. It means that small businesses have integration tosupplier and to customer. The other result of this study indicate that integrate the supply chainhave positive and significant effect on company performance"

"Integrasi rantai suplai delivery mobil di Indonesia dan kontribusinya dalam menunjang keunggulan kompetitif rantai suplai belum banyak di teliti oleh peneliti kontenporer di indonesia. Permodelan rantai suplai dengan sistem dinamis ditujukan untuk memahami perilaku dari  sistem sehingga dapat menunjang aktivitas analisa problem, dan menunjang proses perbaikan rantai suplai agar tercipta rantai delivery mobil yang efektif dan efisien di Indonesia. Dengan membangun model dan menganalis hasil simulasi di dapatkan sebuah konseptual model yang menunjukan peranan Integrasi sistem informasi, dan integrasi penggunaan fasilitas bersama di antara pabrik, distributor, pelabuhan, gudang mobil, dan outlet penjualan mobil terhadap penurunan waktu tempuh dan penurunan stok dalam rantai suplai. Hasil simulasi ini diharapkan dapat memberikan dukungan ilmiah dalam proses pengambilan keputusan  maupun proses desain strategi rantai suplai deliveri mobil  yang efektif dan effisien di Indonesia.

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Cars supply chain Integration in Indonesia and its contribution to supporting supply chain competitive advantage has not been widely studied by contemporary researchers in Indonesia. Supply chain modeling with a dynamic sistem aims to understand the behavior of the sistem. With understanding sistem behavior will support problem analysis activities, and support the supply chain improvement process in order to create an effective and efficient vehicle supply chain in Indonesia. By building a model and analyzing simulation results, a conceptual model produced to shows the role of information sistem integration, and the integration of shared facilities between factories, distributors, ports, car warehouses, and car sales outlets in order to reduce delivery time and decrease stock in the supply chain. This study produces a casual loop diagram model for explaining the structure of the sistem so that it can support the supply chain company in the decision making process and supply chain strategy design process in Indonesia."

"Integrasi sistem merupakan salah satu kunci penting dalam mengoptimalkan performa sistem supply chain secara komprehensif. Sistem terintegrasi sendiri dapat digambarkan sebagai sistem yang mengatur rangkaian proses yang melibatkan aktivitas dari hulu producer hingga hilir end customer . Selama horizon waktu tersebut, aktivitas supply chain terus berjalan ditiap entitasnya. Selama waktu tersebut pula, salah satu hal penting lainnya yang perlu diperhatikan adalah unsur time value of money. Ini pula yang mendasari pentingnya perhitungan nilai future value, dimana nilai ini juga berkontribusi terhadap total biaya yang dikeluarkan. Fokus dari penelitian ini adalah mengembangkan model optimasi sistem supply chain tiga tingkat multi entitas dengan melibatkan unsur perhitungan future value FV dalam fungsi tujuannya. Adapun variable yang menjadi perhatian utama yaitu jumlah barang/produk yang diproduksi dan distribusikan oleh produser kepada distributor, serta jumlah produk yang didistribusikan oleh distributor kepada retailer. Terdapat dua fungsi tujuan yang diharapkan dapat dicapai dari penelitian ini, yaitu meminimalkan total biaya yang dikeluarkan dalam sistem supply chain dan meningkatkan servis level pengiriman produk kepada customer. Penelitian ini menggunakan pendekatan genetic algorithm algoritma genetik untuk optimasi persamaan supply chain tiga tingkat. Adapun model algoritma yang digunakan adalah Multi Objective Genetic Algorithm MOGA dan Non Dominated Sorting Genetic Algorithm NSGAII. Hasil yang diperoleh menunjukkan konfigurasi optimal untuk jumlah produk yang diproduksi dan dikirim ditiap periodenya, sehingga total biaya yang diperoleh dan outstanding service level dapat diminimalkan.

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Integrated system are the critical key in optimizing performance of supply chain system comprehensively. Integrated system can described as regulator in arranging process flow end to end. In the certain horizon time, supply chain activity are still going and through each entity involved. Actually, the other point that need to be consider are time value of money perspective. This consideration take more specific factor that called 'future value' calculation. However, it also contribute to the total cost spend in supply chain system.

The purpose of this research are to develop and solve supply chain three echelon optimization equation. Decision variable consist of quantity of product create and distributed from producer to distributor and quantity of product delivered from distributor to retailer. There are two objective function are presented by this model, first minimization of total cost in supply chain system and second minimization of delivery tardiness delivery surplus of product in supply chain system.Genetic algorithm GA approach is applied to solve the equation model and particularly separated to MOGA and NSGAII method.

The result shown optimal configuration of product quantity delivered in each period, that impact to minimal total cost and improve service level."