This　paper　presented　a　mixed　integer　programming　model　for　APS　problem　in　a　supply　chain.　The　proposed　APS　model　considered　explicitly　capacity　constraints,　operation　sequences,　alternative　machines　and　due　dates　in　a　multi-enterprise　environment.　The　objective　of　the　model　was　to　minimize　the　earliness/tardiness　penalty　for　all　orders.　Numerical　results　show　that　the　suggested　APS　model　can　produce　optimal　schedules　favorably.